# Question

Suppose you collect data for each of the following pairs of variables. You want to make a scatterplot. Identify the response and explanatory variables. What would you expect to see in the scatterplot? Discuss the direction, curvature, and variation.

(a) Sales receipts: number of items, total cost

(b) Productivity: hours worked, items produced

(c) Football players: weight, time to run 40 yards

(d) Fuel: number of miles since filling up, gallons left in your tank

(e) Investing: number of analysts recommending a stock, its subsequent price change

(a) Sales receipts: number of items, total cost

(b) Productivity: hours worked, items produced

(c) Football players: weight, time to run 40 yards

(d) Fuel: number of miles since filling up, gallons left in your tank

(e) Investing: number of analysts recommending a stock, its subsequent price change

## Answer to relevant Questions

Suppose you collect data for each of the following pairs of variables. You want to make a scatterplot. Identify the response and explanatory variables. What would you expect to see in the scatterplot? Discuss the likely ...The human resources department at a company noticed that there is a linear association between the number of days that an employee is absent from year to year, with correlation 0.4. The correlation of absences this year with ...Match the value of the correlation to the data in the scatterplot. (a) r = 0 (b) r = -0.9 (c) r = 1 (d) r = 0.4 These data describe housing prices in the Philadelphia area. Each of the 110 rows of this data table describes a region of the metropolitan area. (Several make up the city of Philadelphia.) One column, labeled Selling Price, ...Apple, Dell, IBM, and Microsoft are well known in the computer industry. If the computer industry is doing well, then we might expect the stocks of all four to increase in value. If the industry goes down, we’d expect all ...Post your question

0