Minitab Help 2: SLR Model Evaluation
Minitab Help 2: SLR Model EvaluationMinitab®
Skin cancer
- Perform a basic regression analysis with y = Mort and x = Lat.
- Create a fitted line plot.
- To display confidence intervals for the model parameters (regression coefficients) click "Results" in the Regression Dialog and select "Expanded tables" for "Display of results."
Cord blood lead concentration
- Perform a basic regression analysis with y = Cord and x = Sold.
- Create a fitted line plot.
- To display confidence intervals for the model parameters (regression coefficients) click "Results" in the Regression Dialog and select "Expanded tables" for "Display of results."
Skin cancer
- Perform a basic regression analysis with y = Mort and x = Lat.
Height and grade point average
- Perform a basic regression analysis with y = gpa and x = height.
- Create a fitted line plot.
Sprinters
- Perform a basic regression analysis with y = Men200m and x = Year.
- Create a fitted line plot.
Highway sign reading distance and driver age
- Perform a basic regression analysis with y = Distance and x = Age.
- Create a fitted line plot.
- To display confidence intervals for the model parameters (regression coefficients) click "Results" in the Regression Dialog and select "Expanded tables" for "Display of results."
- To change the confidence level for the intervals click "Options" in the Regression Dialog.
Handspan and height
- Perform a basic regression analysis with y = Height and x = Handspan.
- Create a fitted line plot.
Checking account deposits
- Perform a basic regression analysis with y = New and x = Size.
- Create a fitted line plot.
- Conduct a lack of fit test. (Note Minitab v17 automatically recognizes replicates of data and produces a Lack of Fit test with Pure error by default.)