D.) Solve for the slope of the regression line. (SHOW YOUR WORK. Use the information from earlier in the problem. If you were unable to solve for something you need here, make up a number for what you need and tell me you are doing so. You can get full credit for this part even with made up numbers from earlier if I can follow your work.) | E.) Solve for the Intercept of the regression line. (Again, show your work.) F.) Write out the regression equation incorporating your answers from part d and e.
D.) Solve for the slope of the regression line. (SHOW YOUR WORK. Use the information from earlier in the problem. If you were unable to solve for something you need here, make up a number for what you need and tell me you are doing so. You can get full credit for this part even with made up numbers from earlier if I can follow your work.) | E.) Solve for the Intercept of the regression line. (Again, show your work.) F.) Write out the regression equation incorporating your answers from part d and e.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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i just need help with d-f please, thank you!
![Next summer you decide to enjoy the post-Covid world by attending some baseball games. You keep the stats of your
favorite players and decide to examine if there is any connection between Home Runs and Runs Batted In.
a) Fill in the empty cells in the table below. (If you are concerned a portion of the table is not showing up in your
word processer look at the pdf version of the exam).
Home Runs
Runs Batted In
Player
(X)
(Y)
x-X
y-ỹ
(x-X)(y-ỹ)
Buxton
4
14
Sano
5
26
Donaldson
13
Kirilloff
3
14
Polanco
4
24
Кepler
6.
11
Totals
24
b) Calculate the correlation coefficient (r).
Use Sx=1.414 and Sy = 6.325 while I know you can calculate standard deviations I have gone ahead
and done so for you.
SHOW YOUR WORK. (Write down the equation and plug in the correct values, the correct
answer alone will not get full points.)
r =
C.) Let's say you want to predict how many Runs Batted In a player would have based on their Home Runs. Write
down the general regression equation we could use to do so.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe1d17f5d-0c9d-4d20-b4d8-205cdade0cbf%2F8242c671-f771-407f-a2a3-5a233fc77329%2F1ffklal_processed.png&w=3840&q=75)
Transcribed Image Text:Next summer you decide to enjoy the post-Covid world by attending some baseball games. You keep the stats of your
favorite players and decide to examine if there is any connection between Home Runs and Runs Batted In.
a) Fill in the empty cells in the table below. (If you are concerned a portion of the table is not showing up in your
word processer look at the pdf version of the exam).
Home Runs
Runs Batted In
Player
(X)
(Y)
x-X
y-ỹ
(x-X)(y-ỹ)
Buxton
4
14
Sano
5
26
Donaldson
13
Kirilloff
3
14
Polanco
4
24
Кepler
6.
11
Totals
24
b) Calculate the correlation coefficient (r).
Use Sx=1.414 and Sy = 6.325 while I know you can calculate standard deviations I have gone ahead
and done so for you.
SHOW YOUR WORK. (Write down the equation and plug in the correct values, the correct
answer alone will not get full points.)
r =
C.) Let's say you want to predict how many Runs Batted In a player would have based on their Home Runs. Write
down the general regression equation we could use to do so.
![D.) Solve for the slope of the regression line. (SHOW YOUR WORK. Use the information from earlier in the problem.
If you were unable to solve for something you need here, make up a number for what you need and tell me you
are doing so. You can get full credit for this part even with made up numbers from earlier if I can follow your
work.)
E.) Solve for the Intercept of the regression line. (Again, show your work.)
F.) Write out the regression equation incorporating your answers from part d and e.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe1d17f5d-0c9d-4d20-b4d8-205cdade0cbf%2F8242c671-f771-407f-a2a3-5a233fc77329%2Ffut0b37_processed.png&w=3840&q=75)
Transcribed Image Text:D.) Solve for the slope of the regression line. (SHOW YOUR WORK. Use the information from earlier in the problem.
If you were unable to solve for something you need here, make up a number for what you need and tell me you
are doing so. You can get full credit for this part even with made up numbers from earlier if I can follow your
work.)
E.) Solve for the Intercept of the regression line. (Again, show your work.)
F.) Write out the regression equation incorporating your answers from part d and e.
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