http://www.cengage.com/marketing/book_content/1439080674_zikmund/book/ch23.pdf I need questions 5, 7, & 9 completed on pg 576

5. Interpret the following data:
a) Yˆ = 5.0 + .30X1 Where the dependent variable equals turnover intentions for line managers and the independent variable equals number of employees supervised.
Answer:
The slope of the regression equation is 0.30 which indicates that for every additional increase in turnover intentions for line managers, the number of employees supervised increases by 0.30.
The intercept for the regression equation is 5.0 which indicate that when there is no change in increase in turnover intentions for line managers, the number of employees supervised is 5.0.
b) Yˆ = 250 - 4.0X1 ’NET Where the dependent variable is the number of hits on a new banner ad and the independent variable is the number of weeks the ad has run.
Answer:
The slope of the regression equation is -4.0 which indicates that for every additional increase in number of weeks the ad has run, the number of hits on a new banner decreases by 4.0.
The intercept for the regression equation is 250.0 which indicate that when there is no change in increase in number of weeks the ad has...