THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
The computer output for the multiple regression model,y = β₀ + β₁X₁ + β₂X₂ + ε is shown below.However,because of a printer malfunction some of the results are not shown.These are identified by asterisks.

S = * R-Sq = *
ANALYSIS OF VARIANCE

-If you want to test H₀ : β₁ = β₂ = 0 against H₁ : At least one β_j ≠ 0,(j = 1,2),what is the test statistic? What is your conclusion at the 5% level?

Question

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
The computer output for the multiple regression model,y = β₀ + β₁X₁ + β₂X₂ + ε is shown below.However,because of a printer malfunction some of the results are not shown.These are identified by asterisks.

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: The computer output for the multiple regression model,y = β<sub>0</sub> + β<sub>1</sub>X<sub>1</sub> + β<sub>2</sub>X<sub>2</sub> + ε is shown below.However,because of a printer malfunction some of the results are not shown.These are identified by asterisks. S = * R-Sq = * ANALYSIS OF VARIANCE -If you want to test H<sub>0</sub> : β<sub>1</sub> = β<sub>2</sub> = 0 against H<sub>1</sub> : At least one β<sub>j</sub> ≠ 0,(j = 1,2),what is the test statistic? What is your conclusion at the 5% level?

S = * R-Sq = *
ANALYSIS OF VARIANCE

-If you want to test H₀ : β₁ = β₂ = 0 against H₁ : At least one β_j ≠ 0,(j = 1,2),what is the test statistic? What is your conclusion at the 5% level?

Quizplus · Accepted Answer

The Answer of THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: The computer output for the multiple regression model,y = β 0 + β 1 X 1 + β 2 X 2 + ε is shown below.However,because of a printer malfunction some of the results are not shown.These are identified by asterisks. S = * R-Sq = * ANALYSIS OF VARIANCE -If you want to test H₀ : β₁ = β₂ = 0 against H₁ : At least one β_j ≠ 0,(j = 1,2),what is the test statistic? What is your conclusion at the 5% level?