Calculate the mean sum of squares of the model (MS_M) or the average amount of variance explained by the model. A) 793596.54 B) 847612.47 C) 333478.15 D) 972145.56

Question

Quizplus · Accepted Answer

MS_M represents the mean sum of squares of the model, which measures the variability accounted for by the regression model. A higher value indicates that the model explains more variance in the dependent variable. The mean sum of squares of the model is calculated by dividing the sum of squares of the model by its degrees of freedom. Based on the given options, the highest value is 793596.54, which is option A. Therefore, A is the best choice.

Calculate the Mean Sum of Squares of the Model (MSM)

Calculate the Mean Sum of Squares of the Model (MS_M)