You are a data analyst for the MLB and your boss asks you to analyze data related to stadium attendance and winning percentage. You obtain data on 30 MLB teams (see the data file for this project; this data is from the early 2000’s, so the teams might not reflect the current state). The file includes the cost of the team name, league, year the park was built, stadium capacity, average attendance, and winning percentage. You decide to calculate the correlation coefficient to see if the winning percentage and average attendance are related, and then the least squares regression line, in order to predict the winning percentage of a team whose average attendance is 65000. What to do: Prepare your summary of results, and make sure you include (1) the correlation and (2) an equation for predicting the winning percentage based on average attendance. What is (3) the expected winning percentage of a team whose average attendance is 65000? Does this seem reasonable? ### Major League Baseball Teams Attendance and Performance DataBelow is a comprehensive dataset representing various Major League Baseball (MLB) teams, including information on their league affiliation, the year their ballpark was built, seating capacity, average attendance, and winning percentage (WinPct).| Team | League | Ballpark Built (ParkBlt) | Capacity | Average Attendance (Attend) | Winning Percentage (WinPct) ||------------------------|-----------|--------------------------|----------|-----------------------------|-----------------------------|| Anaheim Angels | American | 1966 | 45050 | 24708 | 0.463 || Baltimore Orioles | American | 1992 | 48262 | 38668 | 0.391 || Boston Red Sox | American | 1912 | 33871 | 32412 | 0.509 || Chicago White Sox | American | 1991 | 46943 | 29077 | 0.512 || Cleveland Indians | American | 1994 | 43027 | 37282 | 0.562 || Detroit Tigers | American | 2000 | 40000 | 24012 | 0.407 || Kansas City Royals | American | 1973 | 40793 | 18964 | 0.401 || Minnesota Twins | American | 1982 | 48678 | 22287 | 0.525 || New York Yankees | American | 1923 | 57746 | 40802 | 0.594 || Oakland Athletics | American | 1966 | 43662 | 26339 | 0.630 || Seattle Mariners | American | 1976 | 59856 | 43362 | 0.716 || Tampa Bay Devil Rays | American | 1990 | 44445 | 16026 | 0.383 || Texas Rangers | American | 1994 | 49115 | 34955 | 0.451 || Toronto Blue Jays | American | 1989 |

Given: The data on 30 MLB teams To find: 1) Correlation coefficient between winning percentage and…

Answered: You are a data analyst for the MLB and…

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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You are a data analyst for the MLB and your boss asks you to analyze data related to stadium attendance and winning percentage. You obtain data on 30 MLB teams (see the data file for this project; this data is from the early 2000’s, so the teams might not reflect the current state). The file includes the cost of the team name, league, year the park was built, stadium capacity, average attendance, and winning percentage. You decide to calculate the correlation coefficient to see if the winning percentage and average attendance are related, and then the least squares regression line, in order to predict the winning percentage of a team whose average attendance is 65000.

What to do: Prepare your summary of results, and make sure you include (1) the correlation and (2) an equation for predicting the winning percentage based on average attendance. What is (3) the expected winning percentage of a team whose average attendance is 65000? Does this seem reasonable?