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.
To find the equation of the line of best fit, we first need to calculate the correlation coefficient (r) between the average number of leg-press repetitions and the average 40-yard dash time.
Using the provided data, we can calculate the correlation coefficient using a statistical software or a spreadsheet program. Once we have the correlation coefficient, we can use it to find the equation of the line of best fit.
However, since the data is not provided, we cannot calculate the correlation coefficient or determine the equation of the line of best fit.