1.A manager is interested in knowing about the effects of office gossip on her workers' stress levels. She thinks that office gossip leads to stress. In order to test her idea, she measures levels of participation in office gossip and stress levels of her 200 workers. She learns that 100 of the workers discuss rumors about other workers at least once a week, whereas 100 of the workers discuss rumors about other workers less than once a week. Of the 100 workers who disuses rumors about other workers at least once a week, 78 exhibit a high level of job-related stress. Of the 100 workers who discuss rumors about other workers less than once a week, 50 exhibit a high level of job-related stress. Based on this information, she contracts a table between office gossip and stress. Calculate an interpret column percentages.

Office Gossip

StressMoreLess

High.7850

Low.2250

100100

**You can create a table in Word, save it, and attach the file.

2.Alan sells products at eBay. He wants to assess the effects of the number of items sold on his net profits. After collecting daily data for two months, he constructs the following regression.

Amount of net profit (in dollars) = -10 + 20 Number of items sold

N=60 R-square = 0.95.

A.What is the independent variable in the equation?

B.What is the dependent variable in the equation?

C.What is the value of the regression coefficient?

D.What is the value of the y-intercept?

E.Interpret the regression coefficient

F.Interpret the y-intercept.

G.Interpret the r-square.

H.When the number of items sold is 5, what is the predicted amount of net profit?