Inference for Simple Linear Regression in JMP®
Chapter 9, Printout 1
Note: While the focus of this example is inference for simple linear regression, the data used are identical to those of Printout 1 of Chapter 4. Section 1 is as for the Chapter 4 printout; Section 2 describes additional steps for inference.
Section 1: Making a Fitted Line Plot
- Launch JMP and create a new data table.
- Enter the data.
- Rename Column 1 to "Pressure" and enter the pressure data from the x column in Table 4.1 (p. 124).
- Add a second column, "Density," and enter the density data from the table.
- Generate a fitted line plot of the data.
JMP fits a line to the points, plots the line, and displays an analysis of the fit.
Section 2: Inferences in Simple Linear Regression
- Display confidence limits for mean density.
JMP displays confidence limits for mean densities.
- Return to the window containing the line fit generated in Section 1.
- Click the red triangle next to the label, "Linear Fit." Select "Confid Curves Fit" from the resulting pop-up menu.
- Display prediction limits for individual densities.
JMP displays prediction limits for individual densities.
- Click the red triangle next to the label, "Linear Fit." Select "Confid Curves Indiv" from the resulting pop-up menu.
- Display confidence limits for parameters.
JMP adds two columns to the Parameter Estimates table.
- Right-click anywhere on the table under the label "Parameter Estimates."
- Select "Columns --> Lower 95%" from the resulting pop-up menu.
- Right-click on the table again, this time selecting "Columns --> Upper 95%" from the pop-up menu.