<p>Running regressions in SPSS Open the data base File open U.S. college .sav .sav indicates an SPSS file. SPSS can also read Excel, ASCII etc files You should see this:</p><p> to run the regression click analyze, regression, linear… You should see this Highlight variables on the left and hid the black arrow keys to move them to the right. Lets regress graduation rate (dependent) on student faculty ratio (independent)</p><p> hit OK… you should see this. Variables Entered/Removed b</p><p>Variables Variables Model Entered Removed Method 1 Student/fac a . Enter ulty ratio a. All requested variables entered. b. Dependent Variable: Graduation Rate</p><p>This is a list of independent variables used. Dependent is listed below.</p><p>Model Summary</p><p>Adjusted Std. Error of Model R R Square R Square the Estimate 1 .373a .139 .134 15.04% a. Predictors: (Constant), Student/faculty ratio</p><p>This gives goodness of fit for the whole regrssion, rsq and the standard error of the regression.</p><p>ANOVA b</p><p>Sum of Model Squares df Mean Square F Sig. 1 Regression 5736.070 1 5736.070 25.347 .000a Residual 35529.68 157 226.304 Total 41265.75 158 a. Predictors: (Constant), Student/faculty ratio b. Dependent Variable: Graduation Rate</p><p>F-statistics</p><p>Coefficients a</p><p>Standardi zed Unstandardized Coefficie Coefficients nts Model B Std. Error Beta t Sig. 1 (Constant) 82.786 4.138 20.005 .000 Student/faculty ratio -1.517 .301 -.373 -5.035 .000 a. Dependent Variable: Graduation Rate</p><p>And finally, the coefficients. In this case the regression equation is Graduation Rate = 82.786 –1.517*Student/Faculty ratio. </p>