1.you use in line to best fit the set of data to make a prediction about the unknown value. The correlation coefficient for your data set is -0.015. How confident can you be that your predicted value will be reasonably close to the actual value?
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2.A college football coach wants to know if the 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 tables 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 nearst tenth, if necessary.
Leg press (reps) 15, 18, 8, 30, 26, 12, 21
40-yard Dash(s) 5.2, 6.3, 6.8, 8.2, 8.0, 5.3, 5.9