Here are the key terms for this chapter.
- Adjusted predicted value
- Adjusted R2
- Autocorrelation
- bi
- 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
- Ordinary least squares (OLS)
- Outcome variable
- Perfect collinearity
- Predicted value
- 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)
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