Be Sure to Select .Xls As the File Type, Then Click on Mileage Data

Open JMP then click on open data table

Be sure to select .xls as the file type, then click on mileage data

To create a new column with a transformed variables – click on column, then select new variable, then click on the box (column properties) in the lower left to insert a variable based on a formula

Click in the box (red with “no formula” inside) then type a 1 then click on the division symbol then click on the table column variable mpg. Then click ok

Then name the variable mpgi and click ok. Note the variable is in column 9 (not yet named)

Click on Analyze>fit model

Select mpgi as Y (under pick role) and select size through gears and click on Add under construct model effects

Then click on the down arrow in the Personality box. Click on Stepwise, then click on Run Model.

The first page gives the initial output that lists the stepwise options and the summary statistics for the first step. These are results you would get for simple linear regressions. Now click on Go.

Now note that 2 boxes are checked as Entered. There are three estimates (intercept and the two variables). The Step History gives the variables that were entered and the probabilities for each step. Note that these are not the ones for the model, rather for the stepwise procedure.

To see the model, click on Make Model then click ok to run

There is a variety of plots and summary statistics.

Plots

Actual versus predicted – hope points fall along a straight line

Leverage plot for each variable – useful for looking at the effect of one variable given the other variables in the model.

If you want to look at other diagnostics click on the red triangle next to Response

Then click on Save Columns>Save Studentized Residuals

Then click on Analyze>distribution and select the column associated with Standardized Residual, click ok

Click on the red triangle next to Studentized Residuals and select Normal Quantile plot

Note that at each step you can save to a report, for example, as a RTF file. You can also save scripts which are useful if you want to rerun analyses.