# Regression & Generalized Linear Models

- How to get an Adjusted R-Square in Linear Regression
- How to Select the Regression Type
- How to Save Residuals of Regression Models
- How to Save Probabilities of Each Response of Regression Models
- How to Save Predicted Values of Regression Models
- How to Save Fitted Values of Regression Models
- How to Test Residual Serial Correlation (Durbin-Watson) of Regression Models
- How to Test Residual Normality (Shapiro-Wilk) of Regression Models
- How to Test Residual Heteroscedasticity of Regression Models
- How to Create a Prediction-Accuracy Table
- How to Create a Goodness-of-Fit Plot
- How to Create Regression Multicollinearity Table (VIF)
- How to Run a Stepwise Regression
- How to Run Quasi-Poisson Regression
- How to Run Poisson Regression
- How to Run Ordered Logit Regression
- How to Run NBD Regression in Displayr
- How to Create a Scale-Location Plot
- How to Create a Residuals vs Leverage Plot
- How to Create a Residuals-vs-Fitted Plot
- How to Create a Normal-Q-Q plot
- How to Create an Influence Index plot for your regression
- How to Create a Cooks-Distance-vs-Leverage Plot
- How to Create a Cook's Distance Plot
- How to Run a Multinomial Logit Regression
- How to Run a Generalized Linear Model
- How to Run Binary Logit Regression
- How to Run Linear Regression in Displayr
- How To Stack Data for Driver Analysis
- How To Automatically Remove Outliers from Regression and GLMs