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Multiple Regression Diagnostics for salary data in SPSS

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See attached data file.

Using the salary.sav data file found in SPSS/PASW, predict the natural log of beginning salary from gender, education level, work experience, and minority status (variables sex, ed level, work, and minority). Save the leverages, Studentized residuals, standardized changes in the regression coefficients, and Cook's distance. Obtain all partial regression plots.

Another part of the problem is to look at each partial regression plot. Edit them to include the regression line and R squared. For the work experience variable, use the Partial Correlations procedure to show the relationship between R squared for the partial regression plot and the partial regression coefficient.

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Step by step method for multiple Regression Diagnostics for salary data in SPSS

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