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Eberly College of Science
STAT 462
Applied Regression Analysis
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Minitab Software Help
The following pages contain:
outlines of common Minitab procedures,
details of Minitab steps to carry out the procedures detailed in each Lesson.
Common Procedures in Minitab
Minitab Help 1: Foundations
Minitab Help 2: SLR Model
Minitab Help 3: SLR Evaluation
Minitab Help 4: SLR Assumptions, Estimation & Prediction
Minitab Help 5: MLR Model & Evaluation
Minitab Help 6: MLR Assumptions, Estimation & Prediction
Minitab Help 7: Transformations & Interactions
Minitab Help 8: Categorical Predictors
Minitab Help 9: Influential Points
Minitab Help 10: Regression Pitfalls
Minitab Help 11: Model Building
Minitab Help 12: Logistic, Poisson & Nonlinear Regression
Common Procedures in Minitab ›
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Lessons
Lesson 1: Statistical Inference Foundations
Lesson 2: Simple Linear Regression (SLR) Model
Lesson 3: SLR Evaluation
Lesson 4: SLR Assumptions, Estimation & Prediction
Lesson 5: Multiple Linear Regression (MLR) Model & Evaluation
Lesson 6: MLR Assumptions, Estimation & Prediction
Lesson 7: Transformations & Interactions
Lesson 8: Categorical Predictors
Lesson 9: Influential Points
Lesson 10: Regression Pitfalls
Lesson 11: Model Building
Lesson 12: Logistic, Poisson & Nonlinear Regression
Resources
Website for Applied Regression Modeling, 2nd edition
Notation Used in this Course
R Software Help
Minitab Software Help
Common Procedures in Minitab
Minitab Help 1: Foundations
Minitab Help 2: SLR Model
Minitab Help 3: SLR Evaluation
Minitab Help 4: SLR Assumptions, Estimation & Prediction
Minitab Help 5: MLR Model & Evaluation
Minitab Help 6: MLR Assumptions, Estimation & Prediction
Minitab Help 7: Transformations & Interactions
Minitab Help 8: Categorical Predictors
Minitab Help 9: Influential Points
Minitab Help 10: Regression Pitfalls
Minitab Help 11: Model Building
Minitab Help 12: Logistic, Poisson & Nonlinear Regression