The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test. Use the equation of the least squares line to predict the score on the test of a student who studies 12 hours.

a. 80.1

b. 85.1

c. 75.1

d. 85.3

Write an equation for the line. Use slope-intercept form, if possible.

Through (-4, -3.5) and (-2 , 1.5)

a. y = 0.4x - 1.9

b. y = 2.5x + 6.5

c. y = -2.5x - 13.5

d. y = -0.4x - 5.1

The relationship between the list price, x, in thousands of dollars, and the dealer invoice price, y, also in thousands of dollars, for pickup trucks can be approximated by the linear equationy = .715x + 2.82

Use this equation to predict the dealer invoice price for a pickup truck with a list price of 18.5 thousand dollars.

a. 21.930 thousand dollars

b. 16.048 thousand dollars

c. 13.228 thousand dollars

d. 19.841 thousand dollars

The paired data below consist of the temperatures on randomly chosen days and the amount a certain kind of plant grew (in millimeters). Use the equation of the least squares line to predict the growth of a plant if the temperature is 70.

a. 29.93

b. 29.37

c. 30.49

d. 27.90

The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test. Use the equation of the least squares line to predict the score on the test of a student who studies 7 hours.

a. 69.8

b. 77.8

c. 79.8

d. 74.8