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SCENARIO 14-10
You Worked as an Intern at We Always β\beta

Question 160

Multiple Choice

SCENARIO 14-10
You worked as an intern at We Always Win Car Insurance Company last summer. You notice that individual car insurance premiums depend very much on the age of the individual and the number of traffic tickets received by the individual. You performed a regression analysis in EXCEL and obtained the following partial information:
SCENARIO 14-10 You worked as an intern at We Always Win Car Insurance Company last summer. You notice that individual car insurance premiums depend very much on the age of the individual and the number of traffic tickets received by the individual. You performed a regression analysis in EXCEL and obtained the following partial information: -Referring to Scenario 14-10,to test the significance of the multiple regression model,what is the form of the null hypothesis? A) H<sub>0 </sub>: \beta <sub>1</sub> = 0 B) H<sub>0 </sub>: \beta <sub>2</sub> = 0 C) H<sub>0 </sub>: \beta <sub>1</sub> = \beta <sub>2</sub> =0 D) H<sub>0 </sub>: \beta <sub>0</sub> = \beta <sub>1</sub> = \beta <sub>2</sub> = 0
SCENARIO 14-10 You worked as an intern at We Always Win Car Insurance Company last summer. You notice that individual car insurance premiums depend very much on the age of the individual and the number of traffic tickets received by the individual. You performed a regression analysis in EXCEL and obtained the following partial information: -Referring to Scenario 14-10,to test the significance of the multiple regression model,what is the form of the null hypothesis? A) H<sub>0 </sub>: \beta <sub>1</sub> = 0 B) H<sub>0 </sub>: \beta <sub>2</sub> = 0 C) H<sub>0 </sub>: \beta <sub>1</sub> = \beta <sub>2</sub> =0 D) H<sub>0 </sub>: \beta <sub>0</sub> = \beta <sub>1</sub> = \beta <sub>2</sub> = 0
-Referring to Scenario 14-10,to test the significance of the multiple regression model,what is the form of the null hypothesis?


A) H0 : β\beta 1 = 0
B) H0 : β\beta 2 = 0
C) H0 : β\beta 1 = β\beta 2 =0
D) H0 : β\beta 0 = β\beta 1 = β\beta 2 = 0

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