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Eberly College of Science
STAT 501
Regression Methods
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Welcome to STAT 501!
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Lessons
Lesson 1: Simple Linear Regression
Lesson 2: SLR Model Evaluation
Lesson 3: SLR Estimation & Prediction
Lesson 4: SLR Model Assumptions
Lesson 5: Multiple Linear Regression
Lesson 6: MLR Model Evaluation
Lesson 7: MLR Estimation, Prediction & Model Assumptions
Lesson 8: Categorical Predictors
Lesson 9: Data Transformations
Lesson 10: Model Building
Lesson 11: Influential Points
Lesson 12: Multicollinearity & Other Regression Pitfalls
Lesson 13: Weighted Least Squares & Robust Regression
Lesson 14: Time Series & Autocorrelation
Lesson 15: Logistic, Poisson & Nonlinear Regression
Resources
Applied Linear Regression Models textbook Website
Notation Used in this Course
Datasets Used in this Course
Minitab Software Help
R Software Help
Video Resources
