Many of Pew Research Center’s survey analyses show relationships ... By using the regression function `svyglm()` in R, we can conduct a regression analysis that includes party differences in the same ...

Simple linear regression is commonly used in forecasting and financial analysis—for a company ... Well if your research leads you to believe that the next GDP change will be a certain percentage ...

Regression analysis may be robust if the variables ... We also reference original research from other reputable publishers where appropriate. You can learn more about the standards we follow ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

The regression analysis creates the single line that best summarizes the distribution of points. Mathematically, the line representing a simple linear regression is expressed through a basic ...

Acquire an understanding of the concepts surrounding 'collinearity'. Appreciate the indications and symptoms of collinearity in multivariable regression. Become aware of the available diagnostic ...

When you perform regression analysis in Microsoft Excel, you are engaging in a statistical process that helps you understand the relationship between variables. This technique is particularly ...