

From the Welcome or New Table dialog, choose to create a multiple variable data table.
If you are just getting started, choose the sample data for multiple regression
Each row represents a different individual, animal, experiment or something.
Each column represents a different variable. All variables must be entered as numbers. If you want to enter gender, you must encode the values (perhaps 1 for Male, 2 for Female) and can not enter category names directly.
Later you will tell Prism which of the variables is the dependent (Y) variable (usually the first). The rest will be independent (X) variables.
Click Analyze, and then choose multiple regression from the list of analyses for multiple variable tables. the multiple regression dialog has five tabs:
•Model. Choose which variable is the dependent variable and which other variables to include as independent variables Also choose any interactions or transforms you wish to include in the model.
•Compare. Choose a second model and specify how the fit of the two models should be compared.
•Weighting. Usually all data are weighted equally, but you can specify another weighting scheme.
•Diagnostics. Specify which results Prism should report.
•Residuals. Plot the residuals (the difference between actual and predicted Y values) in several different ways.