Category:Create Regression
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This page is currently being updated to reflect changes made in Q5. If you are using Q5 and require documentation now, please contact us at Q Support.
Standard R and QScript regression methods available from the Create menu.
Pages in category ‘Create Regression’
The following 35 pages are in this category, out of 35 total.
R
- Regression - Binary Logit
- Regression - Diagnostic - Multicollinearity Table (VIF)
- Regression - Diagnostic - Plot - Cook's Distance
- Regression - Diagnostic - Plot - Cook's Distance vs Leverage
- Regression - Diagnostic - Plot - Goodness of Fit
- Regression - Diagnostic - Plot - Influence Index
- Regression - Diagnostic - Plot - Normal Q-Q
- Regression - Diagnostic - Plot - Residuals vs Fitted
- Regression - Diagnostic - Plot - Residuals vs Leverage
- Regression - Diagnostic - Plot - Scale-Location
- Regression - Diagnostic - Prediction-Accuracy Table
- Regression - Diagnostic - Test Residual Heteroscedasticity
- Regression - Diagnostic - Test Residual Normality (Shapiro-Wilk)
- Regression - Diagnostic - Test Residual Serial Correlation (Durbin-Watson)
- Regression - Driver Analysis
- Regression - Generalized Linear Model
- Regression - Legacy Driver Analysis - Table of Beta Scores
- Regression - Legacy Driver Analysis - Table of Contribution Scores
- Regression - Legacy Driver Analysis - Table of Elasticity Scores
- Regression - Legacy Driver Analysis - Table of Kruskal Importance Scores
- Regression - Legacy Driver Analysis - Table of Linear Regression Coefficients
- Regression - Legacy Driver Analysis - Table of Relative Weights (Relative Importance Analysis)
- Regression - Legacy Driver Analysis - Table of Shapley Importance Scores
- Regression - Linear Regression
- Regression - Multinomial Logit
- Regression - NBD Regression
- Regression - Ordered Logit
- Regression - Poisson Regression
- Regression - Quasi-Poisson Regression
- Regression - Save Variable(s) - Fitted Values
- Regression - Save Variable(s) - Predicted Values
- Regression - Save Variable(s) - Probabilities of Each Response
- Regression - Save Variable(s) - Propensity Weight
- Regression - Save Variable(s) - Residuals
- Regression - Stepwise