A study was conducted to compare the average time spent in the lab each week versus course
grade for computer students. The results are recorded in the table below. Use the equation of the
least squares line to predict the grade of a student who spends 7 hours in the lab.
Number of hours spent in lab (x) Grade (percent) (y)
10 96
11 51
16 62
9 58
7 89
15 81
16 46
10 51
Find an equation for the least squares line representing weight, in pounds, as a function of height,
in inches, of men. Then, predict the weight of a man who is 68 inches tall to the nearest tenth of a
pound. The following data are the (height, weight) pairs for 8 men: (66, 150), (68, 160), (69, 166),
(70, 175), (71, 181), (72, 191), (73, 198), (74, 206).
In the table below, x represents the number of years since 2000 and y represents annual sales (in
thousands of dollars) for a clothing company. Use the least squares regression equation to estimate
sales in the year 2006. Round to the nearest thousand dollars.
Year (x) 1 2 3 4 5
Sales (y) 30 40 60 90 130