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STAT 501 Regression Methods

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Welcome to STAT 501!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 Notation Used in this Course 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 Topic 1: Robust Regression Topic 2: Time Series & Autocorrelation Topic 3: Poisson & Nonlinear Regression Common Procedures in Minitab Common Procedures in R Lesson 13: Weighted Least Squares & Logistic Regressions

Lesson

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 & Logistic Regressions

Optional Content

Topic 1: Robust Regression

Topic 2: Time Series & Autocorrelation

Topic 3: Poisson & Nonlinear Regression

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