A multiple regression model with 3 independent variables and 16 observations produced the following analysis of variance table. After some consideration,the analyst decided to add two new independent variables to the multiple regression model.As a result of this change,the unexplained variation (SSE)decreased by 5.Complete the new analysis of variance table after the addition of the two new independent variables.Did the two newly added variables improve the model?

Question

A multiple regression model with 3 independent variables and 16 observations produced the following analysis of variance table.  After some consideration,the analyst decided to add two new independent variables to the multiple regression model.As a result of this change,the unexplained variation (SSE)decreased by 5.Complete the new analysis of variance table after the addition of the two new independent variables.Did the two newly added variables improve the model?

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The Answer of A multiple regression model with 3 independent variables and 16 observations produced the following analysis of variance table.  After some consideration,the analyst decided to add two new independent variables to the multiple regression model.As a result of this change,the unexplained variation (SSE)decreased by 5.Complete the new analysis of variance table after the addition of the two new independent variables.Did the two newly added variables improve the model?

A Multiple Regression Model with 3 Independent Variables and 16