Solve the problem.
-The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands). By using linear regression, the following function is obtained: y = 55.8 + 2.79x where x is the
Cost of advertising (in thousands of dollars) and y is number of products sold (in thousands). Use this function
To predict the number of products sold (in thousands of dollars) if the cost of advertising is $11,000.
A) 86.49
B) 93.19
C) 30,745.8
D) 83.49

Question

Solve the problem.
-The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands). By using linear regression, the following function is obtained: y = 55.8 + 2.79x where x is the
Cost of advertising (in thousands of dollars) and y is number of products sold (in thousands). Use this function
To predict the number of products sold (in thousands of dollars) if the cost of advertising is $11,000. 
A) 86.49 
B) 93.19 
C) 30,745.8 
D) 83.49

Quizplus · Accepted Answer

The Answer of Solve the problem.
-The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands). By using linear regression, the following function is obtained: y = 55.8 + 2.79x where x is the
Cost of advertising (in thousands of dollars) and y is number of products sold (in thousands). Use this function
To predict the number of products sold (in thousands of dollars) if the cost of advertising is $11,000. 
A) 86.49 
B) 93.19 
C) 30,745.8 
D) 83.49

Solve the Problem. -The Paired Data Below Consist of the Costs of Advertising