Examlex

Solved

A Local Tire Dealer Wants to Predict the Number of Tires

question 115

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>  \le  0 vs.H<sub>a</sub>:  \beta <sub>1</sub> > 0. A) 2.132,reject the null hypothesis B) 2.132,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>  \le  0 vs.H<sub>a</sub>:  \beta <sub>1</sub> > 0. A) 2.132,reject the null hypothesis B) 2.132,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>  \le  0 vs.H<sub>a</sub>:  \beta <sub>1</sub> > 0. A) 2.132,reject the null hypothesis B) 2.132,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>  \le  0 vs.H<sub>a</sub>:  \beta <sub>1</sub> > 0. A) 2.132,reject the null hypothesis B) 2.132,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>  \le  0 vs.H<sub>a</sub>:  \beta <sub>1</sub> > 0. A) 2.132,reject the null hypothesis B) 2.132,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 \le 0 vs.Ha: β\beta 1 > 0.


Definitions:

External Sources

Information, knowledge, or resources obtained from outside an individual's or organization's immediate environment or internal systems.

Stanley Milgram

A psychologist known for his landmark study on obedience to authority figures, demonstrating people's willingness to follow orders.

Obedience To Authority

A form of social influence where individuals follow orders or directives from an authority figure, sometimes against their own interests.

Stanley Schachter

A psychologist known for his research on social behavior, emotion, and group dynamics, including the study of anxiety, affiliation, and social comparison.

Related Questions