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

\alpha

= .05 and test H₀:

\beta

₁ = 0 vs.H_a:

\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

The Following Results Were Obtained from a Simple Regression Analysis

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