24. 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. How confident can you be that your predicted value will be reasonably close to the actual value?

Question

25. 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 set 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): 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

LadyPhantomhive · Answer

@Ms.Sue @Reed @Damon @Writeteacher Can you please help me?

Rezz · Answer

Well, for 24, Correlation can range anywhere in the -1 to 1 range, and in between. However, 0 is a midway point where the closer you get to it in decimal values, the less correlation there is. At absolute 0.000, there is no correlation at all. So if it's at -0.015, do you think their would be NO correlation at all? Or maybe a little?