Question

Question below

Answer 1

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?

Leg Press (reps)|40-yard Dash (s)
15 |5.2
18 |6.3
8 |6.8
30 |8.2
26 |8.0
12 |5.3
21 |5.9

Answer 2

@pooja195

Answer 3

@pooja195

Answer 4

Use a calculator to find the line of best fit equation. If you don't have a calculator, you can use this free online one

http://www.alcula.com/calculators/statistics/linear-regression/

Input the values like you see in the attached image

Tell me what equation you get

Answer 5

It will not open @jim_thompson5910

Answer 6

what won't open? the link? or the image attachment?

Answer 7

link

Answer 8

are you on mobile? laptop? tablet? desktop?

Answer 9

POC laptop

Answer 10

ok let me try to find another website

Answer 11

how about this page

http://www.mathportal.org/calculators/statistics-calculator/correlation-and-regression-calculator.php

Answer 12

Or you could just do... :P

Answer 13

does that link work?

Answer 14

My computer is a POC

Answer 15

so it doesn't load at all? my computer isn't the best either and I have to wait a bit for things to completely load up

Answer 16

Right.

Answer 17

It doesn't load at all. But can you do and I will study it and get someone to look at my computer to help it. But again can you do if for me

Answer 18

@jim_thompson5910

Answer 19

ok I'll show you what I get. See attached

Answer 20

So what is my answer...?

Answer 21

@jim_thompson5910

Answer 22

the linear regression equation is on that attachment

Answer 23

the second part of the answer is found by plugging in x = 22 to find y

Answer 24

I don't follow can you show me

Answer 25

it's the last line where it says `regression line equation`

Answer 26

Yes

Answer 27

The last line

Answer 28

that's the answer to the first part

the second part of the answer is found by plugging in x = 22 to find y

Answer 29

at the end?

Answer 30

into the regression line equation

Answer 31

26.63?

Answer 32

how are you getting that?

Answer 33

idk. idk how to do this I am getting so stressed out :/

Answer 34

plug x = 22 into y=4.536+0.107x and tell me what you get

Answer 35

102.146

Answer 36

So how would I write this out in a short answer?

Answer 37

that's way too high

Answer 38

you're just typing this into your calculator

4.536+0.107*22

Answer 39

That is what I did

Answer 40

I got the same thing. you make sure you didn't do it wrong

Answer 41

4.536+0.107*22 = 6.89

idk where you went wrong, but that's what it should be

Answer 42

I guess my computer is messed up like I said. SO how do I put that in a short answer?

Answer 43

@jim_thompson5910

Answer 44

@jim_thompson5910

Answer 45

`I guess my computer is messed up like I said. SO how do I put that in a short answer?` what do you mean?