# Regression & Generalized Linear Models

- How to Save Propensity Weights of Regression Models
- How to Interpret Logistic Regression Outputs
- How to Interpret Logistic Regression Coefficients
- How to View the 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 From a Regression Output
- How to Create a 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
- 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