Running head: REGRESSION

Regression
Names
RES/342 - Research and Evaluation II
Date
Professor

Table of contents

Executive Summary 3

Dataset 3

Data Observations 3

Statistical Analysis 4

Conclusion 4

Dataset for the 2004 season 5

Regression Analysis taking LOG (Y) 6

Regression Analysis 8

Executive Summary

This report is to determine whether total team payroll for major league baseball teams directly varies with each team’s home attendance. This is an important statistical analysis because if we can prove that there is a relationship between salary and attendance then we can see that more fans in the stands will give a team more buying power when it comes to signing players.

Dataset

The independent variable is team payroll and the dependent variable is team home attendance. Each team plays 81 home games. The dataset consists of 30 Major League Baseball teams from the 2004 season.

Data Observations

For the independent variable:

The arithmetic mean for home attendance is: 30,453.67
The median for total home attendance is: 31,499.50
The standard deviation for total home attendance is: 8,132.28139
The minimum for total home attendance is: 14,052
The maximum for total home attendance is: 50,499

For the dependent variable:

The arithmetic mean for total payroll is: $73,052,363.27
The median for total payroll is: $66,191,416.50
The standard deviation for total payroll is: $33,672,116.60
The minimum for total payroll is: $29,363,067
The maximum for total payroll is: $208,306,817

Statistical Analysis

Team A has chosen to utilize a simple regression technique with the given data. There are currently no possible additional data points to use because the number of major