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Mathematics 20 Online
OpenStudy (anonymous):

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?

OpenStudy (♪chibiterasu):

You can't be too confident. Any different circumstance can change the results of your graph. The line of best fit will provide a general prediction of what will happen if the current flow continues the way it is, but any little thing can happen and change that either a little bit or even drastically. Line of best fit is not always trustworthy, but it gives you a general idea of what will happen if the current situation stays as is and nothing too grand happens to change it so much.

OpenStudy (readergirl12):

I agree with @♪Chibiterasu Correlation can range from -1 to 1,I think. 0 isn't a correlation at all.. -0.015 is close to 0..I don't think you would be confident at alll..Upon stating that your prediction is just a guess..

OpenStudy (♪chibiterasu):

Exactly. It's just a guess and you can't tell what might happen to change it.

OpenStudy (anonymous):

can you guys help me with another question last one promise:) 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. 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

OpenStudy (♪chibiterasu):

Can you upload the table? :)

OpenStudy (♪chibiterasu):

Also, there is better correlation the closer the values are.

OpenStudy (♪chibiterasu):

|dw:1449442579762:dw|

OpenStudy (anonymous):

yes

OpenStudy (♪chibiterasu):

|dw:1449442607877:dw|

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