A sports medicine major wanted to conduct an experiment to determine if there is a correlation between the members of the soccer team's leg strength and the time it takes for them to sprint 40 yards. He sets up the following test and records the data:

Every day for a week, he counts how many times each player can leg press 350 pounds. The following week, he has each player sprint 40 yards every day. The table shows the average number of leg-press repetitions and the average 40-yard dash time (in seconds) for seven randomly selected players. What is the equation of the line of best fit? How many seconds should he expect a player to take to run 40 yards if that player can do 22 leg-press repetitions? Round any values to the nearest tenth, if necessary.

Leg Press (reps)

12

32

7

11

23

28

15

40-yard Dash (s)

8.6

14.6

7.1

8.3

11.9

13.4

9.5

(2 points)

To find the equation of the line of best fit, we can use linear regression. We can use the average leg press repetitions as the independent variable (x) and the average 40-yard dash time as the dependent variable (y).

First, let's calculate the mean of the leg press repetitions (x̄) and 40-yard dash time (ȳ):

x̄ = (12 + 32 + 7 + 11 + 23 + 28 + 15) / 7 = 18.1
ȳ = (8.6 + 14.6 + 7.1 + 8.3 + 11.9 + 13.4 + 9.5) / 7 = 10.757

Next, let's calculate the sum of the products of the leg press repetitions and 40-yard dash times (Σxy) and the sum of the leg press repetitions squared (Σx²):

Σxy = (12 * 8.6) + (32 * 14.6) + (7 * 7.1) + (11 * 8.3) + (23 * 11.9) + (28 * 13.4) + (15 * 9.5) = 2382.7
Σx² = (12²) + (32²) + (7²) + (11²) + (23²) + (28²) + (15²) = 2670

Now, let's calculate the slope (m) and y-intercept (b) of the line of best fit:

m = (Σxy - n * x̄ * ȳ) / (Σx² - n * x̄²)
= (2382.7 - 7 * 18.1 * 10.757) / (2670 - 7 * 18.1²)
= 0.225

b = ȳ - m * x̄
= 10.757 - 0.225 * 18.1
= 6.785

Therefore, the equation of the line of best fit is:

y = 0.225x + 6.785

To estimate the 40-yard dash time (y) for a player who can do 22 leg-press repetitions (x = 22), we can substitute x = 22 into the equation and solve for y:

y = 0.225 * 22 + 6.785
= 4.95 + 6.785
= 11.735

Therefore, the player should be expected to take approximately 11.7 seconds to run 40 yards.