Examlex

Solved

A Local Tire Dealer Wants to Predict the Number of Tires

question 52

Multiple Choice

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.


Definitions:

Joint And Several Liability

A legal doctrine where multiple parties can be held liable together or individually for the full amount of restitution or damages.

Negligently

A rephrased definition: Acting with a lack of proper care or attention that a reasonably prudent person would exercise in similar circumstances.

Negligently

Acting with a lack of proper care or attention, resulting in harm or injury to another person or property.

Relative Capital Contributions

The contributions, often in the form of money or assets, that partners make relative to one another in a partnership or investment setting.

Related Questions