SPSS Regression Analysis: How to Interpret R², Adjusted R², F and p-Values
SPSS regression banner explaining why R² should not be reported alone If you are using SPSS for regression analysis , there is one common mistake you should avoid: reporting the R² value alone and concluding that your regression model is statistically significant. For example, you may obtain: R² = .25 A researcher might write: “The regression model was significant and explained 25% of the variance in the dependent variable.” The first part of that statement cannot be concluded from R² alone. An R² of .25 means that the predictors in the regression model explain 25% of the variance in the dependent variable . However, you need additional statistics from the SPSS output to determine whether the overall regression model is statistically significant. This distinction is important if you want your research findings to be statistically accurate. What Does R² Mean in SPSS? R², or R-squared, is the coefficient of determination. It tells you the proportion of variance in the dependent va...