Multiple Regression Results
Multiple Regression - Computational Approach
Click the OK button in the Model Definition dialog to display the Multiple Regression Results dialog, which contains three tabs: Quick, Advanced, and Residuals/assumptions/prediction. These tabs show the summary of results for the current regression analysis and offers several options to review specific results. Note that this dialog is also displayed when you click OK in the Multiple Linear Regression Startup Panel and the Review Descriptive Statistics dialog.
F = Regression Mean Square/Residual Mean Square.
R2. The R2 (R-square) field contains the coefficient of multiple determination, which measures the reduction in the total variation of the dependent variable due to the (multiple) independent variables.
R-square = 1 - [Residual SS/Total SS]
Residual SS is the error sums of squares and the Total SS is the total sums of squares.
Adjusted R2. The Adjusted R2 is interpreted similarly to the R2 value except the adjusted R2 takes into consideration the number of degrees of freedom. It is adjusted by dividing the error sum of squares and total sums of square by their respective degrees of freedom.
R-square (adjusted) = 1 - [(Residual SS/df)/(Total SS/df)]

Contract/Expand button. Click the Contract/Expand button to contract or expand the Summary box and Model box. When contracted, you can see only one line of the Summary box or Model box text and can scroll through the text using a scroll bar. Note that when contracted the text is scrolled so that the first non-blank line is at the top. When expanded (the default setting), the entire Summary box and Model box will be displayed on the Multiple Regression Results dialog.
Alpha for highlighting effects. Adjust the Alpha for highlighting effects by entering a new value in the edit box or using the microscroll buttons. The default value is .05. For more details on p-value, see Elementary Concepts.
OK. Click the OK button to display the Residual Analysis dialog.