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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION

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

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F = blured image
= blured image
= 13.562
Reject H0 if...

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