Minitab Help 3: SLR Estimation & Prediction

Student heights and weights

• Perform a basic regression analysis with y = wt and x = ht.
• Create a fitted line plot.
• Use Editor > Add > Reference Lines to add a horizontal line at the mean weight.
• Find a confidence interval and a prediction interval for the response to predict weight for height = 64.

Skin cancer mortality

• Perform a basic regression analysis with y = Mort and x = Lat.
• Create a fitted line plot.
• Find a confidence interval and a prediction interval for the response to calculate 95% confidence intervals for E(Mort) at Lat = 40 and 28.
• Calculate mean(Lat).
• Find a confidence interval and a prediction interval for the response to calculate a 95% prediction interval for Mort at Lat = 40.
• Create a fitted line plot with confidence bands and prediction bands.

Hospital infection risk

• Use Data > Subset Worksheet to select only hospitals in regions 1 or 2.
• Create a basic scatterplot of Stay versus InfctRsk.
• Use Data > Subset Worksheet to select only hospitals with Stay < 16 (i.e., remove the two hospitals with extreme values of Stay).
• Perform a basic regression analysis with y = InfctRsk and x = Stay.
• Find a confidence interval and a prediction interval for the response to calculate 95% confidence intervals for E(InfctRsk) at Stay = 10 and 95% prediction intervals for InfctRsk at Stay = 10.
• Create a fitted line plot with confidence bands and prediction bands