SS (Sum of Squares): The Sum of Squares is the square of the difference between a value and the mean value.It can be calculated using the df=N-k-1 formula where N is the sample size, and k is the number of regression coefficients. df (degrees of freedom): df refers to degrees of freedom.The terms used in the table are as follows. Moreover, in the middle of the output, you’ll see the ANOVA (Analysis of Variance) Table. Interpreting Regression Results of ANOVA Table in Excel Observations: It shows the number of products which is 11.Ģ.Standard Error: Simply, the Standard error tells about the precision of your multiple regression analysis.That means 92% of the points fit the regression line. ![]() In this dataset, the value of the Adjusted R Square is 0.92. The value will be higher than the R Square if a new independent variable improves the model or vice versa. As it provides the comparison among the variables which one is more important than the other.
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