# Minitab Help 2: SLR Model Evaluation

Minitab Help 2: SLR Model Evaluation##
Minitab^{®}

### 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.)