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.)