/632-Project

STAT 632 - Linear and Logistic Regression - final project using R

632-Project

STAT 632 final project

Final Copy of code is "NBA Salaries Final Code.Rmd"

"This dataset includes a list of active NBA players and their information taken from ESPN on 8th of September 2021."

Main Dataset: 2021-2022 NBA dataset: https://www.kaggle.com/datasets/buyuknacar/202122-nba-season-active-nba-players

Supplementary Datasets: Past Seasons NBA datasets: https://www.basketball-reference.com/awards/all_league.html

Variables in active_players_2.csv & players.csv

Name: Name of player

Position: Position of player

Team: Team of player

Age: Age of player

Height: Height of player (feet, inches)

Height_i: Height of player as integer

Weight: Weight of player (lbs)

College: College player attended

Salary: Salary of player (in dollars)

Additional Variables in players.csv

Points: Points player scored in 2021-2022 season

Rebounds: NUmber of rebounds by player during season

Assists: Number of assists by player during season

STAT 632 Linear and Logistic Regression

Simple linear regression, multiple linear regression models and logistic regression models. Inference about model parameters and predictions, diagnostic, assumption checking, remedial measures about the model, and model building. Emphasis on real data from science, engineering, and business. Computer-assisted analysis.