Regression in a sentence

(1) The desmoid showed signs of regression.

(2) The tester performed regression testing.

(3) I use Spss to conduct regression analyses.

(4) SVR is a non-parametric regression method.

(5) The economy is showing signs of regression.

(6) The regression of the disease was unexpected.

(7) The character's regression was disappointing.

(8) The waning opposite of progress is regression.

(9) Linear regression is used to predict outcomes.

(10) Memorize out of progress, not out of regression.

Regression sentence

(11) The Dark Ages were a time of cultural regression.

(12) The concealed opposite of progress is regression.

(13) The kehrseite of progress is sometimes regression.

(14) The aggravated opposite of progress is regression.

(15) The confounded opposite of progress is regression.

(16) We conducted a regression analysis on the variates.

(17) Memorize out of improvement, not out of regression.

(18) Memorize out of advancement, not out of regression.

(19) The regression of the economy has led to job losses.

(20) The team's regression in performance was unexpected.

Regression make sentence

(21) The perceptron is a type of linear regression model.

(22) Bivariants are commonly used in regression analysis.

(23) The test case was part of a regression testing suite.

(24) The regression of the economy impacted the job market.

(25) The regression line shows the trend of the bivariates.

(26) Ridge regression is a type of regularization technique.

(27) Linear regression can be used to predict future trends.

(28) Autocorrelation can be a source of spurious regression.

(29) The outlier's effect on the regression model is evident.

(30) The regression line on the graph shows a negative slope.

Sentence of regression

(31) I used SPSS to run a regression analysis on the dataset.

(32) Linear regression can be used to analyze trends in data.

(33) Autocorrelation can be a problem in regression analysis.

(34) The regression of the project was due to lack of funding.

(35) The regression of the forest area is a cause for concern.

(36) The lr module in the software handles logistic regression.

(37) Sle allows users to perform regression analysis with ease.

(38) I use statistical software to perform regression analysis.

(39) Nonlinearity can cause errors in linear regression models.

(40) We conduct regression testing in the dedicated environment.

Regression meaningful sentence

(41) The company experienced a regression in sales last quarter.

(42) The team used regression models to estimate the parameters.

(43) Researchers used regression analysis in the analytic study.

(44) The regression of the project's budget led to cost overruns.

(45) She used her vision to envision progress against regression.

(46) The variate was used as a predictor in the regression model.

(47) The regression line showed a clear upward trend in the data.

(48) I am using pyxing to perform regression analysis on my data.

(49) Hyperplasias can be monitored for progression or regression.

(50) Least squares regression is a popular statistical technique.

Regression sentence examples

(51) The df variable is often used in linear regression analysis.

(52) The regression equation can be used to estimate future sales.

(53) The regression of the patient's symptoms indicated a relapse.

(54) Regression analysis is commonly used in statistical modeling.

(55) The team used regression analysis to predict future outcomes.

(56) The confounder was controlled for in the regression analysis.

(57) Retrocognition is often associated with past life regression.

(58) SVR can be used for both classification and regression tasks.

(59) Unit testing helps prevent regression issues in the codebase.

(60) The mean square residual of the regression analysis was 0.12.

Sentence with regression

(61) I rely on statistical software to perform regression analysis.

(62) The regression of the weather conditions affected crop yields.

(63) The therapist used regression therapy to explore past traumas.

(64) The regression of the team's morale affected their motivation.

(65) The Gaussian process regression model was used for prediction.

(66) Feedforward networks can be used for regression tasks as well.

(67) Past life regression therapy can help uncover hidden memories.

(68) The inlier is a reliable predictor in the regression analysis.

(69) I will use the bivariants array to perform regression analysis.

(70) The regression line can be used to identify trends in the data.

Use regression in a sentence

(71) The regression of the student's grades was a cause for concern.

(72) The researcher used regression analysis to test the hypothesis.

(73) The regression model accurately predicted the outcome variable.

(74) The trilinear regression model provided insights into the data.

(75) Parapsychologists study the phenomenon of past-life regression.

(76) Statistical regression can help identify outliers in a dataset.

(77) AIC is a useful tool for model selection in regression analysis.

(78) The schema of the regression model helped predict future trends.

(79) The scientists used regression analysis to extrapolate the data.

(80) The psychologist studied the regression of a patient's behavior.

Sentence using regression

(81) The regression of the stock market caused panic among investors.

(82) The child's regression in language skills concerned the parents.

(83) The regression of the patient's memory loss was a positive sign.

(84) Regression testing is an essential part of software development.

(85) The developers fixed the reported bugs after regression testing.

(86) We need to allocate sufficient resources for regression testing.

(87) The QA team identified several issues during regression testing.

(88) Exploring past life regression can be an interesting experience.

(89) The trilinear regression model accurately predicted the outcome.

(90) The inlier is an influential data point in the regression model.

Regression example sentence

(91) I utilized a statistical package to perform regression analysis.

(92) The parapsychologist investigated claims of past-life regression.

(93) Past life regression can help us connect with our soul's purpose.

(94) Ochlocracy can be seen as a regression from civilized governance.

(95) The hypnotherapist used regression therapy to explore past lives.

(96) The regression line can be used to identify patterns in the data.

(97) Cost behavior patterns can be analyzed using regression analysis.

(98) The killer cell's attack on the tumor resulted in its regression.

(99) The biostatistician used regression analysis to examine the data.

(100) The least squares method is commonly used in regression analysis.

Sentence with word regression

(101) Parapsychology has been used to investigate past-life regression.

(102) The regression line can be influenced by outliers in the data set.

(103) Statistical regression is a commonly used method in data analysis.

(104) The hypnotist skillfully guided me through a past life regression.

(105) Multicollinearity can lead to overfitting of the regression model.

(106) I make a conscious effort to keep in practice to avoid regression.

(107) The researcher used a linear regression model to analyze the data.

(108) The economy experienced a downturn during the reign of regression.

(109) High multicollinearity can cause instability in regression models.

(110) The team automated the regression testing to save time and effort.

Sentence of regression

(111) I'm going to interpolate the data using a linear regression model.

(112) AIC is a valuable tool for variable selection in regression models.

(113) Some parapsychologists specialize in studying past-life regression.

(114) The regression in technology has hindered progress in the industry.

(115) The regression of the disease was monitored closely by the doctors.

(116) The regression equation included both linear and interaction terms.

(117) We need to schedule regression testing before the software release.

(118) The reign of regression in cultural diversity hindered inclusivity.

(119) The test case was automated to save time during regression testing.

(120) The regression line can be used to identify outliers in a data set.

Regression used in a sentence

(121) Continuous data is used in regression analysis to predict outcomes.

(122) The study utilized statistical regression to predict future trends.

(123) The statistician used a regression model to linearize the data set.

(124) Hypnotherapists may use regression therapy to explore past traumas.

(125) The Reconstruction era was a time of great progress and regression.

(126) The regression of the stock market has affected investor confidence.

(127) The data points clustered quadratically towards the regression line.

(128) The analyst used a regression model to impute in the missing values.

(129) The researcher linearizes the data points to fit a regression model.

(130) The linearity of the data points suggests a linear regression model.

Regression sentence in English

(131) The hypnotherapist guided me through a past life regression session.

(132) The arts and culture sector suffered during the reign of regression.

(133) The reign of regression in labor rights weakened worker protections.

(134) Galton's research on regression towards the mean was groundbreaking.

(135) Polynomial multiplication is used in polynomial regression analysis.

(136) The Areopagitic writings were written in a time of great regression.

(137) The statistician linearizes the data to perform regression analysis.

(138) It is important to impute before conducting any regression analysis.

(139) The inhibition of angiogenesis can lead to the regression of tumors.

(140) The regression line can be used to identify outliers in the data set.

(141) The classification method used in this study was logistic regression.

(142) The statistician used regression analysis to predict future outcomes.

(143) The nonlinear regression analysis revealed a significant correlation.

(144) The regression of the project's timeline led to delays in completion.

(145) The scatter plot shows a weak regression between these two data sets.

(146) The presence of colinearity can lead to inaccurate regression models.

(147) Colinearity can affect the interpretation of regression coefficients.

(148) The researcher used robust regression to handle outliers in the data.

(149) Probit regression is a popular method for analyzing categorical data.

(150) The probit link function is often used in logistic regression models.

(151) Collinearity can lead to biased estimates of regression coefficients.

(152) Regression testing should be performed after every major code change.

(153) Perceptrons can be used for both regression and classification tasks.

(154) The education system suffered greatly during the reign of regression.

(155) The reign of regression in technological innovation stifled progress.

(156) We should compare the results of the two different regression models.

(157) The feature vector is used to make predictions in a regression model.

(158) The regression coefficient can be influenced by outliers in the data.

(159) Regression analysis is a common technique for statistical estimation.

(160) The sigmoidal curve is frequently used in logistic regression models.

(161) The development team relied on automated TCs to catch regression bugs.

(162) The regression of the student's grades was a result of lack of effort.

(163) The regression of the market demand affected the company's production.

(164) The Gaussian process regression was used to predict the future values.

(165) Multicollinearity can affect the stability of regression coefficients.

(166) The data points suggest a linear regression between these two factors.

(167) The scatter plot shows a clear regression between these two data sets.

(168) Gauss's method of least squares is widely used in regression analysis.

(169) Resampling can be used to estimate the accuracy of a regression model.

(170) The QA team performed thorough regression testing on the latest build.

(171) The team documented all the test cases used during regression testing.

(172) The hypnotherapist used regression therapy to explore my past traumas.

(173) The Galtonian regression model is widely used in statistical analysis.

(174) Regression testing is crucial to maintain the quality of the software.

(175) The regression coefficient can be used to detect outliers in the data.

(176) The sigmoidal function is commonly used in logistic regression models.

(177) The regression line can be used to assess the accuracy of predictions.

(178) The regression of the economy has led to a rise in unemployment rates.

(179) The regression of the stock market has caused many investors to panic.

(180) Multivariable regression analysis is used to analyze complex data sets.

(181) The skewness of the variable affects the accuracy of regression models.

(182) I can easily perform regression analysis using the statistical package.

(183) The regression of the project timeline was caused by unforeseen delays.

(184) The parameters were estimated parametrically using regression analysis.

(185) Collinearity can distort the interpretation of regression coefficients.

(186) The Bernoulli distribution is often used in logistic regression models.

(187) The rise of barbarianism can be seen as a regression in human progress.

(188) The study examined the regression between temperature and plant growth.

(189) It is important to automate regression testing to save time and effort.

(190) Past life regression can provide insights into current life challenges.

(191) The linear regressor is a basic model used for simple regression tasks.

(192) The array latents stores the latent variables for our regression model.

(193) The reign of regression in government transparency eroded public trust.

(194) Before releasing the new version, regression testing must be conducted.

(195) The chart area is where you can add trendlines and regression analysis.

(196) Binomially distributed data can be modeled using a binomial regression.

(197) The bivariates of the data set were analyzed using regression analysis.

(198) The researcher conducted a regression analysis to examine the residuals.

(199) The regression model accurately predicted the outcome of the experiment.

(200) The regression of the athlete's performance was attributed to an injury.

(201) The regression of the team's communication hindered their collaboration.

(202) The regression of the project's quality resulted in customer complaints.

(203) The researcher used different regression techniques to analyze the data.

(204) The team conducted a robust regression analysis to account for outliers.

(205) The researcher found a significant regression in the experimental group.

(206) The researchers examined the regression between smoking and lung cancer.

(207) The ridge regressor is used to prevent overfitting in regression models.

(208) Estimators can be used to estimate the parameters of a regression model.

(209) The reign of regression in consumer protection weakened consumer rights.

(210) Detecting multicollinearity is an important step in regression analysis.

(211) The researcher used a regression analysis to parameterize the variables.

(212) The regression line represents the best-fit line through a scatter plot.

(213) The study used statistical regression analysis to predict future trends.

(214) The regression analysis shows that the variables are linearly dependent.

(215) The LM test is used to test for heteroscedasticity in regression models.

(216) L1 and L2 regularization are two common types used in linear regression.

(217) The Gaussian process is a statistical model used in regression analysis.

(218) Autocorrelation can lead to biased estimates of regression coefficients.

(219) The regression line can be used to assess the goodness of fit of a model.

(220) The patient's tumor showed signs of regression after oncolytic treatment.

(221) The regression of the patient's mental health required intensive therapy.

(222) The coefficient of determination is commonly used in regression analysis.

(223) The presence of colinearity can lead to unstable regression coefficients.

(224) The researchers used a bivariant regression model to predict the outcome.

(225) The discretized variable was used as a predictor in the regression model.

(226) The researchers found a regression between sugar consumption and obesity.

(227) The reign of regression in criminal justice led to a rise in crime rates.

(228) The reign of regression in media freedom limited the flow of information.

(229) The reign of regression in agricultural practices harmed the environment.

(230) The classification method employed in this study was logistic regression.

(231) The high-order polynomial regression model captured the data trends well.

(232) Multicollinearity can introduce bias in regression coefficient estimates.

(233) Regression testing helps identify any unintended changes in the software.

(234) Regression testing is performed after every major change to the software.

(235) The regression line can be used to assess the normality of the residuals.

(236) The regression of the environment is a major concern for many scientists.

(237) The statistician used regression analysis to multiplicate the data points.

(238) The regression of the team's chemistry affected their overall performance.

(239) The regression of the patient's condition required a change in medication.

(240) The regression of the experiment's results contradicted previous findings.

(241) The dark age was a period of decline and regression in human civilization.

(242) The presence of collinearity can affect the accuracy of regression models.

(243) The analyst used a regression model to impute out the missing data points.

(244) The regression between the two variables was evident in the data analysis.

(245) The researchers found a regression between screen time and attention span.

(246) Past life regression can be a tool for personal growth and self-discovery.

(247) Linearizing the data simplifies the process of fitting a regression model.

(248) The team executed regression testing to validate the system's reliability.

(249) Regression testing is an integral part of the software testing life cycle.

(250) The researcher used statistical regression to predict stock market trends.

(251) Hypnotic regression can help individuals uncover and resolve past traumas.

(252) Past-life regression therapy aims to uncover memories from previous lives.

(253) The coefficient of correlation is an important tool in regression analysis.

(254) The therapist used regression therapy to explore the client's past traumas.

(255) The regression of the company's reputation resulted in a loss of customers.

(256) The confounder variable was included in the multivariable regression model.

(257) The study identified several outliers that affected the regression results.

(258) Orthogonality is a property that ensures independence in linear regression.

(259) The historian's research uncovers the dualities of progress and regression.

(260) The developers fixed the identified bugs and re-ran the regression testing.

(261) Regression testing is an integral part of the software maintenance process.

(262) The software underwent thorough regression testing to ensure its stability.

(263) Regression testing helps catch any unintended side effects of code changes.

(264) The test lead will conduct regression testing to ensure software stability.

(265) The regression line can be used to identify heteroscedasticity in the data.

(266) Probit regression is a type of regression analysis used in probit modeling.

(267) The LM algorithm is often used in machine learning for regression analysis.

(268) I noticed a regression in my mental health after a stressful week of exams.

(269) The statistician had to impute round numbers for their regression analysis.

(270) The regression coefficient is a key statistic in linear regression analysis.

(271) The regression coefficient is a measure of the slope of the regression line.

(272) The regression analysis revealed a strong correlation between the variables.

(273) The regression of the team's performance can be attributed to poor coaching.

(274) The regression of the team's morale impacted their performance on the field.

(275) Regularization can be used to handle multicollinearity in regression models.

(276) The regression between income and education level was examined in the study.

(277) We noticed a regression between the temperature and the rate of ice melting.

(278) The regression between crime rates and poverty was explored in the research.

(279) The purpose of regression testing is to catch any unexpected bugs or issues.

(280) The software passed all the regression testing scenarios without any issues.

(281) Past life regression can offer a deeper understanding of our soul's journey.

(282) The program interpolates the missing values using a linear regression model.

(283) The reign of regression in environmental policies caused harm to the planet.

(284) The reign of regression in international relations strained diplomatic ties.

(285) The regression line can be used to predict future values based on past data.

(286) The equation of the regression line is determined using statistical methods.

(287) The regression line can be influenced by influential points in the data set.

(288) Statistical regression can help identify the key drivers of economic growth.

(289) The x-bar is a key component in regression analysis and predictive modeling.

(290) Linear regression can be used to make predictions or forecast future trends.

(291) The regression line can be used to make predictions about future data points.

(292) The coefficient matrix is used to solve problems involving linear regression.

(293) Bayesian statistics can be used to estimate parameters in a regression model.

(294) Multicollinearity can inflate the standard errors of regression coefficients.

(295) The array regressors contains a set of variables used in regression analysis.

(296) The regression analysis accounted for the confounding variables in the study.

(297) The regression model explained 80% of the variance in the dependent variable.

(298) The psychologist used regression therapy to trace past traumatic experiences.

(299) Mobocracy can be seen as a regression from the ideals of a civilized society.

(300) Past life regression can help heal unresolved issues from previous lifetimes.

(301) Linearizing the data helps to improve the linearity assumption in regression.

(302) The reign of regression in the economy led to a decline in job opportunities.

(303) The reign of regression in education funding affected the quality of schools.

(304) The reign of regression in financial regulations led to economic instability.

(305) Regression testing helps ensure that the software remains reliable over time.

(306) The QA team executed regression testing to validate the software's usability.

(307) The objective function of this regression model is to predict housing prices.

(308) Statistical regression can help identify outliers and anomalies in a dataset.

(309) Statistical regression can help identify the key drivers of customer loyalty.

(310) The sigmoid function is used in logistic regression to estimate probabilities.

(311) The regression coefficient is a key parameter in multiple regression analysis.

(312) The optimize returns a set of optimized coefficients for the regression model.

(313) Linear regression can be used to identify outliers or influential data points.

(314) Regression testing helps identify any unintended side effects of code changes.

(315) Past life regression can help release karmic patterns that no longer serve us.

(316) The Lasso regressor is effective in feature selection for regression analysis.

(317) The reign of regression in immigration policies created barriers for migrants.

(318) Multicollinearity can lead to difficulties in replicating regression findings.

(319) Regression testing helps identify any performance degradation in the software.

(320) The regression coefficient can be estimated using various statistical methods.

(321) The regression line can be used to determine the coefficient of determination.

(322) The high-order polynomial regression model accurately predicted future trends.

(323) Statistical regression is a fundamental tool in the field of machine learning.

(324) Subsampling can help identify influential observations in regression analysis.

(325) The healer was in a state of trance while conducting the past life regression.

(326) The numerical data from the experiment was analyzed using regression analysis.

(327) The math professor explained the concept of intercept under linear regression.

(328) The professor assigned a homework problem on intercept over a regression line.

(329) Confounding with regression to the mean can affect the interpretation of data.

(330) The accuracy of statistical regression depends on the quality of the data used.

(331) The regression of the patient's symptoms indicated progress in their treatment.

(332) The regression of the patient's physical abilities necessitated rehabilitation.

(333) Detecting multicollinearity is important before conducting regression analysis.

(334) Multicollinearity can lead to misleading interpretations of regression results.

(335) The scatter plot indicates a possible regression between these two data points.

(336) The scatter with a smooth curve showed a polynomial regression fit to the data.

(337) Probit regression can be used to predict the probability of an event occurring.

(338) Linear regression assumes that the errors in the data are normally distributed.

(339) The Gauss-Markov theorem is a fundamental result in linear regression analysis.

(340) The regression between distance and travel time was measured in the experiment.

(341) The QA team created a regression testing plan to ensure comprehensive coverage.

(342) The reign of regression in politics resulted in a lack of effective leadership.

(343) The reign of regression in technology slowed down advancements in the industry.

(344) The reign of regression in healthcare led to a decrease in quality of services.

(345) The Galtonian concept of regression to the mean is a key statistical principle.

(346) Multicollinearity can affect the precision of regression coefficient estimates.

(347) The mean squared error is a commonly used loss function in regression problems.

(348) Statistical regression can help identify patterns and trends in large datasets.

(349) The regression line can be used to compare the performance of different models.

(350) The regression line can be used to evaluate the effectiveness of interventions.

(351) The quadratic equation is used to solve problems involving quadratic regression.

(352) The regression of the student's behavior warranted intervention from the school.

(353) The team used regression analysis to analyze the relationship between variables.

(354) The concept of regression toward the mean is often used in statistical analysis.

(355) The researcher used stepwise regression to select the most important predictors.

(356) Collinearity can affect the stability and interpretability of regression models.

(357) Regression testing helps maintain the stability and reliability of the software.

(358) The XGBoost regressor is popular for its speed and accuracy in regression tasks.

(359) The program interpolates the missing values using a polynomial regression model.

(360) The program interpolates the missing values using a Gaussian process regression.

(361) Logistic regression is a linear classifier used for binary classification tasks.

(362) Multicollinearity can result in unstable and unreliable regression coefficients.

(363) Multicollinearity can affect the stability and reliability of regression models.

(364) The developers performed regression testing to ensure the software's robustness.

(365) The study found a strong statistical regression between smoking and lung cancer.

(366) The regression line can be used to determine the standard error of the estimate.

(367) The y axis is used to represent the dependent variable in a regression analysis.

(368) The philosopher argued that the animalization of humans is a form of regression.

(369) The LM function is used to estimate the parameters of a linear regression model.

(370) The regression equation is used to predict future sales based on historical data.

(371) Statistical regression can help predict future outcomes based on historical data.

(372) The regression analysis showed a significant relationship between age and income.

(373) The regression model requires accurate coefficients to make accurate predictions.

(374) The regression analysis aims to estimate the coefficients that best fit the data.

(375) The regression of the student's academic performance required additional support.

(376) The relationship between the variables will be analyzed using a regression model.

(377) Colinearity can be caused by including redundant variables in a regression model.

(378) The study found a significant regression between stress levels and sleep quality.

(379) The study found a significant regression between temperature and ice cream sales.

(380) High collinearity between variables can lead to unstable regression coefficients.

(381) Linear regression can be used to identify trends or patterns in time series data.

(382) The least squares method can be extended to handle nonlinear regression problems.

(383) Regularization can be applied to linear regression models to prevent overfitting.

(384) The researchers observed a regression between social media usage and self-esteem.

(385) Regression testing is particularly useful when making changes to complex systems.

(386) Some people seek to uncover their past reincarnations through regression therapy.

(387) The reign of regression in public safety measures compromised community security.

(388) The regression analysis confirmed a quadratic relationship between the variables.

(389) Regression testing is an iterative process that ensures the software's stability.

(390) The QA team executed regression testing to validate the software's functionality.

(391) Statistical regression is a powerful tool for making predictions and forecasting.

(392) The regression line can be used to identify influential observations in the data.

(393) The statistician used regression analysis to interpolate the missing data points.

(394) The regression of the company's market share is a result of increased competition.

(395) The regression of the patient's condition necessitated a change in treatment plan.

(396) The hypnotist used regression therapy to explore the subject's childhood memories.

(397) The study found a significant regression in the participants' cognitive abilities.

(398) The regression of the patient's pain levels indicated progress in their treatment.

(399) Our test lead conducts regression testing to ensure the stability of the software.

(400) Multicollinearity can result in inefficient estimation of regression coefficients.

(401) Multicollinearity can result in unstable and inconsistent regression coefficients.

(402) The study examined the regression of academic performance on parental involvement.

(403) Least squares regression is a popular technique for predicting numerical outcomes.

(404) The psychologist used regression therapy to help her patient gill into past lives.

(405) The researchers used a bivariant logistic regression model to predict the outcome.

(406) The multinomial logistic regression model is used to predict categorical outcomes.

(407) The regression analysis revealed a significant association between the bivariates.

(408) The study investigated the effect of outliers on the bivariates' regression model.

(409) The team used a combination of manual and automated regression testing techniques.

(410) Regression testing is crucial for maintaining the overall quality of the software.

(411) The team used historical data to prioritize the test cases for regression testing.

(412) The hypnotiser's soothing voice guided the subject through a past life regression.

(413) The analyst used regression analysis to keisan the relationship between variables.

(414) The reign of regression in housing policies led to a shortage of affordable homes.

(415) Let's straighten over with this undefined array and perform a regression analysis.

(416) The hypnotist hypnotises the patient, guiding them through a past life regression.

(417) Feature selection is necessary to handle multicollinearity in regression analysis.

(418) Addressing multicollinearity is crucial for obtaining reliable regression results.

(419) Multicollinearity can distort the significance of predictors in regression models.

(420) The regression coefficient can be interpreted as the slope of the regression line.

(421) With the help of a statistical package, we can easily perform regression analysis.

(422) The slope of the regression line indicates the relationship between two variables.

(423) I've noticed a regression in my physical fitness since I stopped going to the gym.

(424) The linearity of the data suggests a linear regression model would be appropriate.

(425) The testers are conducting regression tests to ensure previous issues are resolved.

(426) Statistical regression can be used to identify outliers or influential data points.

(427) Multicollinearity can affect the precision and reliability of regression estimates.

(428) The data suggests that there is a significant regression between these two factors.

(429) The regression equation showed a positive coefficient for the independent variable.

(430) The QA engineer conducts regression testing to ensure previous issues are resolved.

(431) The study found a strong regression between the amount of exercise and weight gain.

(432) The decision stump regressor is a simple yet effective model for binary regression.

(433) The superscripts in this equation represent the coefficients of a regression model.

(434) Galton's work on regression analysis paved the way for modern statistical modeling.

(435) Statistical regression allows for the identification of patterns in large datasets.

(436) The regression analysis showed a negative correlation between income and happiness.

(437) I've noticed a regression in my memory since I started neglecting my mental health.

(438) The exchangeability of the variables is a key assumption in many regression models.

(439) The researcher used a bivariate regression model to predict the sales of a product.

(440) The linearization of a data set involves fitting it with a linear regression model.

(441) The team used regression analysis to identify relationships within the numeric data.

(442) The linear regression analysis confirms a perfect correlation between the data sets.

(443) The regression of the city's infrastructure has led to increased traffic congestion.

(444) The regression of the child's social skills required intervention from a specialist.

(445) The presence of colinearity can lead to biased estimates of regression coefficients.

(446) The study results were adjusted for potential confounders using regression analysis.

(447) The study found a significant regression between exercise frequency and weight loss.

(448) The study found a significant regression between social media usage and self-esteem.

(449) The bivariate regression model predicted the sales based on advertising expenditure.

(450) The study focused on the regression between technology usage and social interaction.

(451) Some individuals claim to have experienced past life regression through reincarnate.

(452) The reign of regression in social equality hindered progress towards a fair society.

(453) The reign of regression in public transportation caused inconvenience for commuters.

(454) The student's grades have stagnated, fluctuating between improvement and regression.

(455) The coefficient of correlation is a statistical measure used in regression analysis.

(456) A high regression coefficient indicates a strong relationship between the variables.

(457) The analysis showed a statistical regression between hours of study and exam scores.

(458) To test the statistical hypothesis, a regression analysis was conducted on the data.

(459) I use SAS to conduct regression analysis and assess relationships between variables.

(460) The regression of the housing market has caused many homeowners to lose their homes.

(461) Bilinear regression is a statistical method used to analyze data with two variables.

(462) The statistics class covered the concept of intercept rounds in regression analysis.

(463) The slope of the regression line represents the rate of change between the variables.

(464) Statistical regression is a fundamental concept in statistical modeling and analysis.

(465) The regression line represents the best fit that may regress between the data points.

(466) The statistician used regression analysis to predict with precision the sales growth.

(467) The least squares method is used to estimate unknown parameters in regression models.

(468) Least squares regression can be used to model the relationship between two variables.

(469) The undefined subspace can be filled in using interpolation or regression techniques.

(470) There was a clear regression between the number of hours studied and the test scores.

(471) The developers used a regression testing framework to streamline the testing process.

(472) Orthogonalizing the variables in a regression model can help avoid multicollinearity.

(473) The ReLU activation function is often used in the output layer of a regression model.

(474) The orthonormality of a set of vectors is a key property in least squares regression.

(475) The engineer used quadratic regression to analyze the data and predict future trends.

(476) Multicollinearity can distort the magnitude and direction of regression coefficients.

(477) The researcher used a multiple regression equation to predict the sales of a product.

(478) SVR is a regression method that can handle both continuous and categorical variables.

(479) It is crucial to understand the assumptions when computing using regression analysis.

(480) The regression line can be used to assess the precision of the estimated coefficients.

(481) Many scientific studies rely on statistical regression to draw meaningful conclusions.

(482) Statistical regression is a powerful tool for identifying trends and patterns in data.

(483) The ordinate array is used to represent the dependent variable in regression analysis.

(484) The researcher conducted a stepwise regression analysis to select the best predictors.

(485) The presence of colinearity can lead to inflated standard errors in regression models.

(486) The regression analysis revealed a strong association between smoking and lung cancer.

(487) The researcher conducted a logistic regression to predict the likelihood of a disease.

(488) Linear regression can be used for both continuous and categorical dependent variables.

(489) The multinomial logistic regression is a powerful tool for analyzing categorical data.

(490) The study aimed to investigate the regression between stress levels and mental health.

(491) The researchers analyzed the regression between education level and job opportunities.

(492) Past life regression can provide closure and healing for unresolved past life traumas.

(493) Nonparametric regression models can capture nonlinear relationships between variables.

(494) Regression testing is a time-consuming process but necessary for a successful release.

(495) The developers ran regression testing to verify the fixes made to the reported issues.

(496) Regression testing is performed to ensure the software's functionality remains intact.

(497) The regression coefficient can be used to assess the presence of outliers in the data.

(498) The regression equation helped to identify the key factors influencing customer churn.

(499) The team used statistical regression to predict future sales based on historical data.

(500) The regression line can be used to identify nonlinear relationships between variables.

(501) The analysis revealed a strong statistical regression between smoking and lung cancer.

(502) The software tester conducted regression tests to test the value of a software update.

(503) The test lead will conduct regression testing to ensure the stability of the software.

(504) The coach warned the team about regression toward the mean after their unexpected win.

(505) The logistic regression classifier is commonly used in binary classification problems.

(506) The statistics textbook had a detailed section on intercept under regression analysis.

(507) The statistics course emphasized the significance of intercept with a regression line.

(508) The regressors array is a crucial tool in analyzing and interpreting regression models.

(509) The child's progress seemed to revert to a previous stage after a period of regression.

(510) The scatter with a regression line helped me estimate future values based on the trend.

(511) Collinearity can be addressed by using regularization techniques like ridge regression.

(512) The least squares algorithm is widely used in machine learning for regression problems.

(513) Linear functions are used in regression analysis to fit a line to a set of data points.

(514) The analyst used regression analysis for delimiting undefined correlations in the data.

(515) The linearization of a non-linear regression model can improve its predictive accuracy.

(516) Lasso regression is a type of regularization technique that performs feature selection.

(517) The regression between noise levels and sleep quality was investigated in the research.

(518) The study focused on the regression between pollution levels and respiratory illnesses.

(519) The study aimed to understand the regression between stress levels and physical health.

(520) The regression between exercise intensity and weight loss was analyzed in the research.

(521) The results of regression testing showed that the software was functioning as expected.

(522) The results of regression testing provided confidence in the stability of the software.

(523) The reign of regression in scientific research slowed down discoveries and innovations.

(524) The reign of regression in energy policies hindered progress towards renewable sources.

(525) Nonparametric regression models can be used to analyze relationships between variables.

(526) The evaluation model employed in the analysis of the data included regression analysis.

(527) Multicollinearity can compromise the accuracy of predictions made by regression models.

(528) Regression testing helps identify any regression defects introduced during development.

(529) Statistical regression can be used to assess the effectiveness of a marketing campaign.

(530) The residuals of the regression model were plotted to check for any patterns or trends.

(531) The statistician used regression analysis to test the validity of the predictive model.

(532) The multinomial logistic regression is a popular method for analyzing categorical data.

(533) The stock market experienced regression toward the mean after a sudden surge in prices.

(534) I've noticed a regression in my social skills since I started spending more time alone.

(535) The regression line can be visualized as a straight line that best fits the data points.

(536) Understanding statistical regression is essential for conducting accurate data analysis.

(537) The results of a statistical regression analysis can be used to make informed decisions.

(538) Statistical regression is a versatile tool that can be applied to various types of data.

(539) The presence of multicollinearity can lead to unstable and unreliable regression models.

(540) Retrogradation can also refer to the decline or regression of a society or civilization.

(541) We can use the regressors array to evaluate the goodness of fit of our regression model.

(542) The study found a significant regression between job satisfaction and employee turnover.

(543) We can predict by using regression analysis to identify relationships between variables.

(544) The renormalized dataset was used to generate a regression model for future predictions.

(545) One of the advantages of linear regression is its simplicity and ease of interpretation.

(546) Outliers in the data can significantly affect the results of linear regression analysis.

(547) The software provides an option to impute down missing values using regression analysis.

(548) The researchers investigated the regression between exercise frequency and heart health.

(549) The study aimed to determine the regression between income inequality and social unrest.

(550) The atavism displayed by the plant species indicated a possible evolutionary regression.

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