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I looked if the points scored per season is best indicator for wins in regular season. Points scored / Wins in regular season Alabama: 623 / 14 Georgia: 522 /11 Missouri: 485/ 8 Texas A&M: 475/ 9 LSU: 394 /10 South Carolina: 390/ 7 Florida: 349/ 10 Mississippi State: 342/ 8 Auburn: 328/ 8 Kentucky: 306 /10 Ole Miss: 351/ 5 Vanderbilt: 316 / 6 Tennessee: 262 /5 Arkansas: 286 / 2 Y= -0.1722 + 0.0213X Slope=0.0213 Question : Calculate and interpret the Standard deviation of the residual.

I looked if the points scored per season is best indicator for wins in regular season. Points scored / Wins in regular season Alabama: 623 / 14 Georgia: 522 /11 Missouri: 485/ 8 Texas A&M: 475/ 9 LSU: 394 /10 South Carolina: 390/ 7 Florida: 349/ 10 Mississippi State: 342/ 8 Auburn: 328/ 8 Kentucky: 306 /10 Ole Miss: 351/ 5 Vanderbilt: 316 / 6 Tennessee: 262 /5 Arkansas: 286 / 2 Y= -0.1722 + 0.0213X Slope=0.0213 Question : Calculate and interpret the Standard deviation of the residual.

MATLAB: An Introduction with Applications
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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The 2018 SEC football season was a competitive season. Alabama won the SEC championship and went o to win the national championship. Georgia finished second in the conference and went to the Sugar Bowl. Other top teams in the SEC included, LSU, Texan A & M, Florida, and Kentucky and were ranked top 25 throughout that year. Therefore, I looked if the points scored per season is best indicator for wins in regular season.

Points scored / Wins in regular season

  • Alabama: 623 / 14
  • Georgia: 522 /11
  • Missouri: 485/ 8
  • Texas A&M: 475/ 9
  • LSU: 394 /10
  • South Carolina: 390/ 7
  • Florida: 349/ 10
  • Mississippi State: 342/ 8
  • Auburn: 328/ 8
  • Kentucky: 306 /10
  • Ole Miss: 351/ 5
  • Vanderbilt: 316 / 6
  • Tennessee: 262 /5
  • Arkansas: 286 / 2

Y= -0.1722 + 0.0213X

Slope=0.0213

Question : Calculate and interpret the Standard deviation of the residual. 

 

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