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A Local Tire Dealer Wants to Predict the Number of Tires

Question 52

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A local tire dealer wants to predict the number of tires sold each month.He believes that the number of tires sold is a linear function of the amount of money invested in advertising.He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars) .Based on the data set with 6 observations,the simple linear regression model yielded the following results. A local tire dealer wants to predict the number of tires sold each month.He believes that the number of tires sold is a linear function of the amount of money invested in advertising.He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars) .Based on the data set with 6 observations,the simple linear regression model yielded the following results. = 24 = 124 = 42 = 338 = 196 Find the rejection point for the t statistic at \alpha = .05 and test H<sub>0</sub>: \beta <sub>1</sub> = 0 vs.H<sub>a</sub>: \beta <sub>1</sub> \neq 0. A) 2.776,reject the null hypothesis B) 2.776,fail to reject the null hypothesis C) 2.645,reject the null hypothesis D) 2.645,fail to reject the null hypothesis = 24 A local tire dealer wants to predict the number of tires sold each month.He believes that the number of tires sold is a linear function of the amount of money invested in advertising.He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars) .Based on the data set with 6 observations,the simple linear regression model yielded the following results. = 24 = 124 = 42 = 338 = 196 Find the rejection point for the t statistic at \alpha = .05 and test H<sub>0</sub>: \beta <sub>1</sub> = 0 vs.H<sub>a</sub>: \beta <sub>1</sub> \neq 0. A) 2.776,reject the null hypothesis B) 2.776,fail to reject the null hypothesis C) 2.645,reject the null hypothesis D) 2.645,fail to reject the null hypothesis = 124 A local tire dealer wants to predict the number of tires sold each month.He believes that the number of tires sold is a linear function of the amount of money invested in advertising.He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars) .Based on the data set with 6 observations,the simple linear regression model yielded the following results. = 24 = 124 = 42 = 338 = 196 Find the rejection point for the t statistic at \alpha = .05 and test H<sub>0</sub>: \beta <sub>1</sub> = 0 vs.H<sub>a</sub>: \beta <sub>1</sub> \neq 0. A) 2.776,reject the null hypothesis B) 2.776,fail to reject the null hypothesis C) 2.645,reject the null hypothesis D) 2.645,fail to reject the null hypothesis = 42 A local tire dealer wants to predict the number of tires sold each month.He believes that the number of tires sold is a linear function of the amount of money invested in advertising.He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars) .Based on the data set with 6 observations,the simple linear regression model yielded the following results. = 24 = 124 = 42 = 338 = 196 Find the rejection point for the t statistic at \alpha = .05 and test H<sub>0</sub>: \beta <sub>1</sub> = 0 vs.H<sub>a</sub>: \beta <sub>1</sub> \neq 0. A) 2.776,reject the null hypothesis B) 2.776,fail to reject the null hypothesis C) 2.645,reject the null hypothesis D) 2.645,fail to reject the null hypothesis = 338 A local tire dealer wants to predict the number of tires sold each month.He believes that the number of tires sold is a linear function of the amount of money invested in advertising.He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars) .Based on the data set with 6 observations,the simple linear regression model yielded the following results. = 24 = 124 = 42 = 338 = 196 Find the rejection point for the t statistic at \alpha = .05 and test H<sub>0</sub>: \beta <sub>1</sub> = 0 vs.H<sub>a</sub>: \beta <sub>1</sub> \neq 0. A) 2.776,reject the null hypothesis B) 2.776,fail to reject the null hypothesis C) 2.645,reject the null hypothesis D) 2.645,fail to reject the null hypothesis = 196 Find the rejection point for the t statistic at α\alpha = .05 and test H0: β\beta 1 = 0 vs.Ha: β\beta 1 ≠\neq 0.


A) 2.776,reject the null hypothesis
B) 2.776,fail to reject the null hypothesis
C) 2.645,reject the null hypothesis
D) 2.645,fail to reject the null hypothesis

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