A complete list of regression features is given below. Stepwise regression is process of building a model by successively adding or removing variables based solely on the p values associated with the t statistic of their estimated coefficients.
SPC for Excel also contains stepwise regression. You can easily remove independent variables as well as observations from the data and rerun the regression. We highly recommend that you turn off Rosetta to get the best experience. When launching the Excel application, you will get prompted with a message that explains this case. The output from the SPC for Excel software includes an in-depth analysis of residuals with potential outliers in red as well as multiple charts to analyze the results. For customers using the Excel for Mac app with an Apple silicon chip, you are no longer required to use Rosetta in order to use Power Query. SPC for Excel contains multiple linear regression that allows you to see if a set of x values impact the response variable. It allows you to examine what independent variables (x) impact a response variable (y) and by how much. Multiple linear regression is a method used to model the linear relationship between a dependent variable and one or more independent variables. Multiple Linear Regression/Stepwise Regression and SPC for Excel
