1. What type of association would you expect in each of the cases below (positive, negative, or none)? How did you determine what the association should be?

a. The average number minutes a person works out per week and their overall weight in lbs.

b. A person's yearly salary and the maximum amount that they are willing to pay for a new cell phone.

c. The total number in sales an Uber driver makes per day and the driver's overall rating?

2. For the scatter plot below describe the type of association being depicted and give a reasonable estimate for the value for the correlation coefficient r. Explain how you determined what the appropriate value for the correlation coefficient should be. 180 160 140 120 100 80 60 40 20 0 80 100 120 140 160 1803. Here is a scatterplot that compares age vs. serum cholesterol levels for 30 randomly selected adults in a local medical clinic. Assume that the correlation coefficient is r = 0.59. 450 400 350 300 250 Cholesterol Serim Level mg/dL 200 150 100 10 20 30 40 50 60 70 80 Age a. Does the data contain any outliers? If so, provide the coordinates of the outliers. b. What would happen to the correlation coefficient r if the suspected outlier is removed? Briefly explain. c. Under what circumstances could we consider deleting the outlier from the data and when would it be better to not do so? Explain. d. Assume that during the data analysis process the researcher switched the variables and put age in the y-axis and the serum cholesterol level on the x-axis. What effect would this have on the correlation coefficient r