Key Ridge Regression Insights
Ridge Regression Results
Executive summary of ridge regression analysis
Executive Summary
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Executive Summary
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Business Insights
Business insights and recommendations
Recommendations
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Recommendations
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Actual vs Predicted Analysis
Actual vs Predicted
Model performance metrics and predictions
Model Performance
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Model Performance
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Cross-Validation for Lambda Selection
Cross-Validation Error
Cross-validation for lambda selection
Regularization Path
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Regularization Path
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Ridge Trace Plot
Ridge Trace Plot
Coefficient evolution across lambda values
Coefficient Paths
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Coefficient Paths
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Model Assumptions Check
Residuals vs Fitted
Residual diagnostics
Residual Analysis
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Residual Analysis
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Q-Q Plot and Distribution
Q-Q Plot
Normality assessment of residuals
Normality Check
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Normality Check
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VIF Analysis and Ridge Solution
VIF Analysis
VIF analysis for multicollinearity
| Variable |
|---|
| x1 |
| x2 |
| x3 |
Multicollinearity
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Multicollinearity
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Regularized Estimates
Ridge regression coefficients
| Variable | Coefficient | Regularized |
|---|---|---|
| (Intercept) | 78.176 | TRUE |
| x1 | 14.494 | TRUE |
| x2 | 3.206 | TRUE |
| x3 | -13.277 | TRUE |
Ridge Coefficients
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Ridge Coefficients
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Lambda Comparison
Lambda Selection
Comparison of regularization parameters
| Model | Lambda | RMSE | Description |
|---|---|---|---|
| Ridge (lambda.min) | 1.536 | 4.793 | Minimum CV error |
| Ridge (lambda.1se) | 2.684 | NA | More regularized |
| OLS (lambda=0) | 0.000 | NA | No regularization |
Model Comparison
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Model Comparison
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Coefficient Reduction
Analysis of coefficient shrinkage
Shrinkage Analysis
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Shrinkage Analysis
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Coefficient Regularization Impact
Coefficient Reduction
Analysis of coefficient shrinkage
Shrinkage Analysis
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Shrinkage Analysis
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Regularized Estimates
Ridge regression coefficients
| Variable | Coefficient | Regularized |
|---|---|---|
| (Intercept) | 78.176 | TRUE |
| x1 | 14.494 | TRUE |
| x2 | 3.206 | TRUE |
| x3 | -13.277 | TRUE |
Ridge Coefficients
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Ridge Coefficients
Insights were not requested for this analysis.
Lambda Selection
Comparison of regularization parameters
| Model | Lambda | RMSE | Description |
|---|---|---|---|
| Ridge (lambda.min) | 1.536 | 4.793 | Minimum CV error |
| Ridge (lambda.1se) | 2.684 | NA | More regularized |
| OLS (lambda=0) | 0.000 | NA | No regularization |
Model Comparison
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Model Comparison
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Key Findings and Technical Details
Business Insights
Business insights and recommendations
Recommendations
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Recommendations
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Ridge Regression Results
Executive summary of ridge regression analysis
Executive Summary
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Executive Summary
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Methodology & Parameters
Technical specifications
Technical Details
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Technical Details
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