Submitted by: Submitted by Azneem
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Pages: 40
Category: Science and Technology
Date Submitted: 08/26/2016 07:16 PM
Azneem Ahmed
Final Project – DAT-510-X2016 Foundations of Data 16TW2
Masters in Data Analytics
Southern New Hampshire University, Manchester
REGRESSION MODEL TO PREDICT NBA PLAYERS SALARIES
Regression Analysis: Predicting NBA Player’s Salaries
Azneem Ahmed
Final Project: Data Analytic Project Proposal
Southern New Hampshire University
1
Azneem Ahmed
Final Project – DAT-510-X2016 Foundations of Data 16TW2
Masters in Data Analytics
Southern New Hampshire University, Manchester
REGRESSION MODEL TO PREDICT NBA PLAYERS SALARIES
Abstract
Based on a lot of past researches, the salary in National Basketball Association is dictated by
both individual attributes and on-court performances. Some work has been done to regress
salaries in the NBA on variables, for example, number of steals per game, blocks per game,
points per game, and so on. In Matthew Week's work, points per game gets the most
consideration. In my paper I present the on-court performance, personal characteristics and
salary. Then I build a connection between them and ran linear regression to analyze the
determinants of salary. Regression tells us what variables are the determinants of expected
salary, and which sort of performance is more essential. Data from the NBA website for the
Season 2015 – 2016 uncover that assists per game, rebounds per game, games played, and other
attributes have statistically significant effect on player's salaries.
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Azneem Ahmed
Final Project – DAT-510-X2016 Foundations of Data 16TW2
Masters in Data Analytics
Southern New Hampshire University, Manchester
REGRESSION MODEL TO PREDICT NBA PLAYERS SALARIES
Regression Analysis: Predicting NBA Player’s Salaries
Introduction and Literature Review
The National Basketball Association (NBA) is the world's premier professional basketball
league, and includes some of the world's best competitors contending on a percentage of the
world's most recognized proficient franchises.
“It has 30...