Alan Bissell, market analyst for City Sound Mart, is analyzing the relation between heavy metal CD sales and the size of the teenage population. He gathers data from six sales districts. Alan's dependent variable is annual heavy metal CD sales (in $1,000,000's), and his independent variable is teenage population (in 1,000's). Regression analysis of the data yielded the following tables. For a sales district with 20,000 teenagers, Alan's model predicts annual CD sales of .

0.105195x - 0.14156

Step-by-step explanation:

The relationship between heavy metal CD sales and size of teenage population is to be obtained. The attached table shows the result obtained from a regression analysis.

The dependent variable, which is the predicted value or variable, y = heavy metal yield

The Independent variable, predictor variable, x = heavy metal yield

Feommthe table ;

Coefficient of x = slope 0.105195

Intercept = - 0.14156

The general form of a simple linear regression model is :

y = mx + c

c = intercept ; m = slope

Therefore, we have the model :

y = 0.105195x - 0.14156

$450.00 for 6 weeks

or

$300

step-by-step explanation:

$200.00 for first week $50.00 x5 equals $250 plus $200 equals $450.00 for six weeks.

$200 for first week

$200 x 0.10 = $20

$20 x 5 = $100

$200 + $100 = $300