Regression Analysis in a sentence
Synonym: statistical analysis, modeling.
Meaning: A statistical method used to determine relationships between variables; important in data analysis.
(1) We conducted a regression analysis on the variates.
(2) Bivariants are commonly used in regression analysis.
(3) I used SPSS to run a regression analysis on the dataset.
(4) Autocorrelation can be a problem in regression analysis.
(5) Sle allows users to perform regression analysis with ease.
(6) I use statistical software to perform regression analysis.
(7) Researchers used regression analysis in the analytic study.
(8) I am using pyxing to perform regression analysis on my data.
(9) The df variable is often used in linear regression analysis.
(10) Regression analysis is commonly used in statistical modeling.
Regression Analysis sentence
(11) The team used regression analysis to predict future outcomes.
(12) The confounder was controlled for in the regression analysis.
(13) The mean square residual of the regression analysis was 0.12.
(14) I rely on statistical software to perform regression analysis.
(15) The inlier is a reliable predictor in the regression analysis.
(16) I will use the bivariants array to perform regression analysis.
(17) The researcher used regression analysis to test the hypothesis.
(18) AIC is a useful tool for model selection in regression analysis.
(19) The scientists used regression analysis to extrapolate the data.
(20) I utilized a statistical package to perform regression analysis.
Regression Analysis make sentence
(21) Cost behavior patterns can be analyzed using regression analysis.
(22) The biostatistician used regression analysis to examine the data.
(23) The least squares method is commonly used in regression analysis.
(24) Continuous data is used in regression analysis to predict outcomes.
(25) Polynomial multiplication is used in polynomial regression analysis.
(26) The statistician linearizes the data to perform regression analysis.
(27) It is important to impute before conducting any regression analysis.
(28) The statistician used regression analysis to predict future outcomes.
(29) The nonlinear regression analysis revealed a significant correlation.
(30) Regression analysis is a common technique for statistical estimation.
Sentence of regression analysis
(31) Gauss's method of least squares is widely used in regression analysis.
(32) Multivariable regression analysis is used to analyze complex data sets.
(33) I can easily perform regression analysis using the statistical package.
(34) The parameters were estimated parametrically using regression analysis.
(35) The chart area is where you can add trendlines and regression analysis.
(36) The bivariates of the data set were analyzed using regression analysis.
(37) The researcher conducted a regression analysis to examine the residuals.
(38) The team conducted a robust regression analysis to account for outliers.
(39) Detecting multicollinearity is an important step in regression analysis.
(40) The researcher used a regression analysis to parameterize the variables.
Regression Analysis meaningful sentence
(41) The study used statistical regression analysis to predict future trends.
(42) The regression analysis shows that the variables are linearly dependent.
(43) The Gaussian process is a statistical model used in regression analysis.
(44) The coefficient of determination is commonly used in regression analysis.
(45) The statistician used regression analysis to multiplicate the data points.
(46) The coefficient of correlation is an important tool in regression analysis.
(47) Probit regression is a type of regression analysis used in probit modeling.
(48) The LM algorithm is often used in machine learning for regression analysis.
(49) The statistician had to impute round numbers for their regression analysis.
(50) The regression coefficient is a key statistic in linear regression analysis.
Regression Analysis sentence examples
(51) The regression analysis revealed a strong correlation between the variables.
(52) The x-bar is a key component in regression analysis and predictive modeling.
(53) The array regressors contains a set of variables used in regression analysis.
(54) The regression analysis accounted for the confounding variables in the study.
(55) The regression coefficient is a key parameter in multiple regression analysis.
(56) The Lasso regressor is effective in feature selection for regression analysis.
(57) Subsampling can help identify influential observations in regression analysis.
(58) The numerical data from the experiment was analyzed using regression analysis.
(59) Detecting multicollinearity is important before conducting regression analysis.
(60) The Gauss-Markov theorem is a fundamental result in linear regression analysis.
Sentence with regression analysis
(61) The team used regression analysis to analyze the relationship between variables.
(62) The y axis is used to represent the dependent variable in a regression analysis.
(63) The regression analysis showed a significant relationship between age and income.
(64) The regression analysis aims to estimate the coefficients that best fit the data.
(65) The regression analysis confirmed a quadratic relationship between the variables.
(66) The statistician used regression analysis to interpolate the missing data points.
(67) The regression analysis revealed a significant association between the bivariates.
(68) The analyst used regression analysis to keisan the relationship between variables.
(69) Let's straighten over with this undefined array and perform a regression analysis.
(70) Feature selection is necessary to handle multicollinearity in regression analysis.
Use regression analysis in a sentence
(71) With the help of a statistical package, we can easily perform regression analysis.
(72) Galton's work on regression analysis paved the way for modern statistical modeling.
(73) The regression analysis showed a negative correlation between income and happiness.
(74) The team used regression analysis to identify relationships within the numeric data.
(75) The linear regression analysis confirms a perfect correlation between the data sets.
(76) The study results were adjusted for potential confounders using regression analysis.
(77) The coefficient of correlation is a statistical measure used in regression analysis.
(78) To test the statistical hypothesis, a regression analysis was conducted on the data.
(79) I use SAS to conduct regression analysis and assess relationships between variables.
(80) The statistics class covered the concept of intercept rounds in regression analysis.
Sentence using regression analysis
(81) The statistician used regression analysis to predict with precision the sales growth.
(82) It is crucial to understand the assumptions when computing using regression analysis.
(83) The ordinate array is used to represent the dependent variable in regression analysis.
(84) The researcher conducted a stepwise regression analysis to select the best predictors.
(85) The regression analysis revealed a strong association between smoking and lung cancer.
(86) The statistics textbook had a detailed section on intercept under regression analysis.
(87) Linear functions are used in regression analysis to fit a line to a set of data points.
(88) The analyst used regression analysis for delimiting undefined correlations in the data.
(89) The evaluation model employed in the analysis of the data included regression analysis.
(90) The statistician used regression analysis to test the validity of the predictive model.
Regression Analysis example sentence
(91) The results of a statistical regression analysis can be used to make informed decisions.
(92) We can predict by using regression analysis to identify relationships between variables.
(93) Outliers in the data can significantly affect the results of linear regression analysis.
(94) The software provides an option to impute down missing values using regression analysis.
(95) The multivariable regression analysis showed a strong correlation between the variables.
(96) The intercept upon a regression analysis can be used to determine the slope of the line.
(97) The bivariate regression analysis showed that height and weight were strongly correlated.
(98) The X-coordinate is used in regression analysis to model relationships between variables.
(99) The scientist used regression analysis to parametrize the relationship between variables.
(100) The confounding of variables in our data set may have influenced our regression analysis.
Sentence with word regression analysis
(101) Multivariable regression analysis is used to predict outcomes based on multiple variables.
(102) The analyst had to impute down the missing data before conducting the regression analysis.
(103) The researcher used regression analysis to parametrize the relationship between variables.
(104) The advanced statistics course covers advanced regression analysis and hypothesis testing.
(105) The concept of a stochastic variable is used in regression analysis to model random errors.
(106) Continuous data is often analyzed using statistical techniques such as regression analysis.
(107) The regression analysis confirms a perfect correlation between the variables in this array.
(108) The researcher conducted a regression analysis to determine the best-fit line for the data.
(109) The statistics class discussion spear into the use of regression analysis in data analysis.
(110) The y axis is used to display the values of the dependent variable in a regression analysis.
Sentence of regression analysis
(111) We need to update the values in the regressors array before running the regression analysis.
(112) Collinearity can be a concern when interpreting the results of multiple regression analysis.
(113) The distribution law is used in regression analysis to model relationships between variables.
(114) The researcher used regression analysis to examine the relationship between categorical data.
(115) The researchers used regression analysis to control for the effects of confounding variables.
(116) The regression analysis indicated a negative relationship between income and education level.
(117) The statistician had to multiply across all the variables to perform the regression analysis.
(118) On analysis, the regression analysis confirmed a positive relationship between the variables.
(119) The regression analysis feature in Spss helped me examine the relationship between variables.
(120) The team used historical data and regression analysis to measure risk in the commodity market.
Regression Analysis used in a sentence
(121) Point estimation is used in regression analysis to estimate the relationship between variables.
(122) The researcher used a regression analysis to examine the statistical distribution of variables.
(123) The statistical significance of the results was confirmed through multiple regression analysis.
(124) The regression analysis revealed a high degree of collinearity among the independent variables.
(125) It is important to isolate between the different types of variables in your regression analysis.
(126) We used regression analysis for the model analysis to understand the impact of different factors.
(127) The regression analysis reveals a non-linear relationship that may regress between the variables.
(128) The regression analysis revealed a strong relationship between customer satisfaction and loyalty.
(129) The econometrist used regression analysis to determine the factors influencing consumer spending.
(130) The regression analysis reveals a negative correlation that may regress between these two factors.
Regression Analysis sentence in English
(131) Continuous data can be analyzed using various statistical techniques, such as regression analysis.
(132) The regression analysis revealed a significant level of colinearity among the predictor variables.
(133) The linearizing function was applied to the data to make it more suitable for regression analysis.
(134) The regression analysis will help determine the strength of the relationship between the variables.
(135) The quadratic relationship between the variables can be further explored using regression analysis.
(136) The confidence limits of the regression analysis showed a strong correlation between the variables.
(137) The regression analysis revealed a strong positive correlation between the two sets of numeric data.
(138) Multivariable regression analysis is used to identify the impact of multiple variables on an outcome.
(139) The assays indicated a correlation between the two variables, so a regression analysis was performed.
(140) The researcher conducted a multiple regression analysis to examine the predictors of job satisfaction.
(141) The regression analysis indicates a strong positive correlation that may regress between the variables.
(142) The regression analysis suggests a significant relationship that may regress between these two factors.
(143) The regression analysis will help us understand the relationship that may regress between the variables.
(144) The statistician instructed to exponentiate beside the coefficient to interpret the regression analysis.
(145) Bayesian regression analysis is a technique for modeling the relationship between two or more variables.
(146) We will use regression analysis to examine the relationship that may regress between these two variables.
(147) The degrees of freedom in a regression analysis indicate the number of data points available for estimation.
(148) As an econometrician, she used regression analysis to estimate the impact of interest rates on housing prices.
(149) As an econometrician, she used regression analysis to estimate the impact of advertising on consumer behavior.
(150) The marginal distribution of a dataset can be used to perform regression analysis on each variable separately.
(151) The coefficient of determination is a valuable metric for assessing the goodness of fit in regression analysis.
(152) The multivariate regression analysis showed that age and gender were significant predictors of voting behavior.
(153) The multivariate regression analysis showed that age and gender were significant predictors of health outcomes.
(154) The standard error is commonly used in regression analysis to assess the accuracy of the estimated coefficients.
(155) The confounding inside the regression analysis made it hard to determine the relationship between the variables.
(156) The iid property is important in many areas of statistics, including hypothesis testing and regression analysis.
(157) The regression analysis showed a negative slope for the relationship between time spent studying and exam scores.
(158) The regression analysis will help us identify any outliers that may affect the relationship between the variables.
(159) The price elasticity of demand for a product can be estimated using historical sales data and regression analysis.
(160) The degrees of freedom in a regression analysis determine the number of independent variables that can be included.
(161) Cost behavior patterns can be analyzed using techniques such as regression analysis or cost-volume-profit analysis.
(162) The outlier was identified as an influential point, meaning it had a significant impact on the regression analysis.
(163) The researcher conducted a bivariate regression analysis to examine the relationship between age and blood pressure.
(164) Covariance is used in regression analysis to assess the relationship between the dependent and independent variables.
(165) The independent variable was found to be a significant predictor of the dependent variable in the regression analysis.
(166) The scientist analyzed the data and discovered a quadratic relationship between two variables through regression analysis.
(167) The statistics class discussed the use of regression analysis to determine the relationship between variables angle by angle.
(168) The research model employed in this study utilized regression analysis to examine the relationship between income and happiness.
(169) The researchers conducted a regression analysis to assess the relationship between the independent variable and the dependent variable.
Regression Analysis meaning
Regression analysis is a statistical technique that is widely used in various fields to examine the relationship between a dependent variable and one or more independent variables. It allows researchers to understand how changes in the independent variables affect the dependent variable, making it a powerful tool for prediction and understanding complex relationships. When using the term "regression analysis" in a sentence, it is important to provide context and clarity. Here are some tips on how to effectively incorporate this term into your writing:
1. Define the term: Begin by providing a brief definition of regression analysis to ensure that your readers understand its meaning.
For example, "Regression analysis, a statistical method used to analyze the relationship between variables, is commonly employed in social sciences and economics."
2. Explain the purpose: Elaborate on why regression analysis is being used in your specific context. Are you trying to predict sales figures, analyze the impact of certain factors on a phenomenon, or understand the relationship between variables? Clearly state the purpose to give your readers a clear understanding of the objective. For instance, "In this study, regression analysis is employed to examine the effect of advertising expenditure on sales revenue."
3. Describe the variables: Specify the dependent and independent variables involved in the regression analysis. This will help readers understand the relationship being investigated.
For example, "The dependent variable in this regression analysis is the number of hours spent studying, while the independent variables include age, previous academic performance, and socioeconomic status."
4. Discuss the methodology: Briefly explain the statistical techniques and software used for conducting the regression analysis. This will provide transparency and allow readers to replicate the study if desired. For instance, "Multiple linear regression analysis was performed using SPSS software to determine the relationship between the dependent and independent variables."
5. Present the results: Summarize the findings of the regression analysis in a clear and concise manner. Use appropriate statistical measures such as coefficients, p-values, and R-squared values to support your conclusions.
For example, "The regression analysis revealed a significant positive relationship between advertising expenditure and sales revenue (? = 0.75, p < 0.05), indicating that increased advertising leads to higher sales."
6. Discuss limitations: Acknowledge any limitations or potential sources of bias in the regression analysis. This demonstrates critical thinking and helps readers understand the scope and generalizability of the findings. For instance, "One limitation of this regression analysis is the reliance on self-reported data, which may introduce response bias."
7. Provide implications and recommendations: Conclude your sentence by discussing the implications of the regression analysis and any recommendations for future research or practical applications. This shows the broader significance of your findings.
For example, "These findings suggest that companies should allocate a larger portion of their budget to advertising in order to maximize sales revenue. Further research could explore the impact of different advertising channels on consumer behavior." By following these tips, you can effectively incorporate the term "regression analysis" into your writing, ensuring that your readers understand its meaning, purpose, methodology, results, and implications.
The word usage examples above have been gathered from various sources to reflect current and historical usage of the word Regression Analysis. They do not represent the opinions of TranslateEN.com.