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Ace Linear Regression Practical Exam
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Module 7
Advanced Diagnostics: Problematic Data
1
Detecting Multicollinearity with VIF
Define multicollinearity and use the Variance Inflation Factor (VIF) to detect its presence and severity.
2
Multicollinearity's Impact on Regression Coefficients
Describe the consequences of high multicollinearity on coefficient estimates and their standard errors.
3
High-Leverage vs. High-Influence Points
Distinguish between a high-leverage point (unusual predictor value) and a high-influence point (a point that significantly changes the model).
4
Identifying Influential Points on Diagnostic Plots
Visually identify potential high-leverage or influential points on standard diagnostic plots.
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Advanced Modeling: Interactions & Transformations
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Final Exam Preparation & Strategy