Everything you need to know about:

• Adjusted predicted value
• Adjusted R2
• βi
• Cook’s distance
• Covariance ratio (CVR)
• Cross-validation
• Deleted residual
• DFBeta
• DFFit
• Dummy variables
• Durbin–Watson test
• F-ratio
• Generalization
• Goodness of fit
• Hat values
• Heteroscedasticity
• Hierarchical regression
• Homoscedasticity
• Independent errors
• Leverage
• Mahalanobis distances
• Mean squares
• Model sum of squares
• Multicollinearity
• Multiple R
• Multiple regression
• Outcome variable
• Perfect collinearity
• Predictor variable
• Residual
• Residual sum of squares
• Shrinkage
• Simple regression
• Standardized DFBeta
• Standardized DFFit
• Standardized residuals
• Stepwise regression
• Studentized deleted residuals
• Studentized residuals
• Suppressor effects
• t-statistic
• Tolerance
• Total sum of squares
• Unstandardized residuals
• Variance inflation factor (VIF)
• Autocorrelation
• bi