In an ANOVA table for a multiple regression analysis, the global test of significance is based on the _________.
A) Treatment mean square divided by the error variation
B) Block and error variation
C) Treatment mean square and block mean square
D) Regression mean square divided by the mean square error

Question

Quizplus · Accepted Answer

The global test of significance in an ANOVA table for a multiple regression analysis is based on the regression mean square divided by the mean square error. This is because the regression mean square represents the variation among the groups that is explained by the model, while the mean square error represents the variation within the groups that is not explained by the model. The F statistic for the global test of significance is calculated as the ratio of these two variances, and a large F value indicates that there is a significant difference between the groups that is not due to chance.

In an ANOVA Table for a Multiple Regression Analysis, the Global