So the multiple regression equation will be Interpreting and Reporting the

So the multiple regression equation will be

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So, the multiple regression equation will be: ______________________________________________ Interpreting and Reporting the Output of Multiple Regression Analysis The software used for the analysis was SPSS Statistics, which generate quite a few tables of output for a multiple regression analysis. There are only three main tables required to understand your results from the multiple regression procedure, assuming that no assumptions have been violated*. The interpretation not just tables but also relevant scatterplots and partial regression plots, histogram (with superimposed normal curve), Normal P-P Plot and Normal Q-Q Plot, correlation coefficients and so on. Determining how well the model fits The first table of interest is the Model Summary table. This table provides the R , R 2 , adjusted R 2 , and the standard error of the estimate, which can be used to determine how well a regression model fits the data: Page 1 of 4
The " R " column represents the value of R , the multiple correlation coefficient . R can be considered to be one measure of the quality of the prediction of the dependent variable; in this case, VO 2 max . A value of 0.760, in this example, indicates a good level of prediction. The " R Square " column represents the R 2 value (also called the coefficient of determination), which is the proportion of variance in the dependent variable that can be

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