23.You use a line of best fit for a set of data to make a prediction about an unknown value. The correlation coefficient for your data set is -0.015 . Can you be confident that your predicted value will be reasonably close to the actual value? Why or why not?

Question

24.A college football coach wants to know if there is a correlation between his players’ 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.

Answer 1

23. In contrast to -1.00, -.015 is very close to zero. What does that tell you about the predictability?

24. No table. Cannot copy and paste here.