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SCENARIO 18-12
the Marketing Manager for a Nationally Franchised Lawn β\beta

Question 289

Multiple Choice

SCENARIO 18-12
The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service. A random sample of 30 home owners located in a suburban area near a large city was selected; 15 did not have a lawn service (code 0) and 15 had a lawn service (code 1) . Additional information available concerning these 30 home owners includes family income (Income, in thousands of dollars) , lawn size (Lawn Size, in thousands of square feet) , attitude toward outdoor recreational activities (Attitude 0 = unfavorable, 1 = favorable) , number of teenagers in the household (Teenager) , and age of the head of the household (Age) . The Minitab output is given below:
SCENARIO 18-12 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service. A random sample of 30 home owners located in a suburban area near a large city was selected; 15 did not have a lawn service (code 0) and 15 had a lawn service (code 1) . Additional information available concerning these 30 home owners includes family income (Income, in thousands of dollars) , lawn size (Lawn Size, in thousands of square feet) , attitude toward outdoor recreational activities (Attitude 0 = unfavorable, 1 = favorable) , number of teenagers in the household (Teenager) , and age of the head of the household (Age) . The Minitab output is given below: -Referring to Scenario 18-10 Model 1,which of the following is the correct null hypothesis to determine whether there is a significant relationship between the number of weeks a worker is unemployed due to a layoff and the entire set of explanatory variables? A) H<sub>0</sub><sub> </sub>: \beta <sub>0</sub> = \beta <sub>1</sub> = \beta <sub>2</sub> = \beta <sub>3</sub> = \beta <sub>4</sub> = \beta <sub>5</sub> = \beta <sub>6</sub> = 0 B) H<sub>0 </sub>: \beta <sub>1</sub> = \beta <sub>2</sub> = \beta <sub>3</sub> = \beta <sub>4</sub> = \beta <sub>5</sub> = \beta <sub>6</sub> = 0 C) H<sub>0 </sub>: \beta <sub>0 </sub>= \beta <sub>1 </sub>= \beta <sub>2 </sub>= \beta <sub>3 </sub>= \beta <sub>4 </sub>= \beta <sub>5</sub><sub> </sub>= \beta <sub>6</sub> D) H<sub>0 </sub>: \beta 0<sub>1 </sub>= \beta <sub>2 </sub>= \beta <sub>3 </sub>= \beta <sub>4 </sub>= \beta <sub>5 </sub>= \beta <sub>6</sub>
-Referring to Scenario 18-10 Model 1,which of the following is the correct null hypothesis to determine whether there is a significant relationship between the number of weeks a worker is unemployed due to a layoff and the entire set of explanatory variables?


A) H0 : β\beta 0 = β\beta 1 = β\beta 2 = β\beta 3 = β\beta 4 = β\beta 5 = β\beta 6 = 0
B) H0 : β\beta 1 = β\beta 2 = β\beta 3 = β\beta 4 = β\beta 5 = β\beta 6 = 0
C) H0 : β\beta 0 = β\beta 1 = β\beta 2 = β\beta 3 = β\beta 4 = β\beta 5 = β\beta 6
D) H0 : β\beta 01 = β\beta 2 = β\beta 3 = β\beta 4 = β\beta 5 = β\beta 6

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