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Introducing Linear Regression: An Example Using Basketball ...

This paper uses basketball statistics to demonstrate the purpose of linear regression and to explain how to interpret its results. In particular, the student will quickly grasp the meaning of explanatory variables, r-squared, and the statistical significance of estimates of regression coefficients.

NBA Salary Prediction using Multiple Regression | Kaggle

NBA Salary Prediction using Multiple Regression. Rmarkdown · NBA Players stats since 1950, NBA Player Salary Dataset (2017 - 2018)

Predicting NBA Win Percentage. How I built a multiple ...

After learning about regression, I immediately felt using sports data would be perfect for my project on the topic. Since my partner, Raphael, was also an NBA fan, we decided to go that route for our analysis and build a multiple regression model. Our goal was to be able to predict the final regular season win percentage for a team based on the ...

Predicting Regular Season Results of NBA Teams Based on ...

Based on Regression Analysis of Common Basketball Statistics by Yuanhao (Stanley) Yang Advisor: Professor David Aldous | Department of Statistics Not long ago, if the Golden State Warriors had wanted to figure out how to best defend Pelicans star forward Anthony Davis, they might have sent a scout to a game or watched video clips. For

Basketball Analytics: Predicting Win Shares | by Oscar ...

The data used for this analysis is from the 2016–17 and 2017–2018 NBA Season, using Basketball-Reference. Essentially, I used data from the 2016–2017 NBA season to create our model and stats from the most recent season to predict win shares. I performed a supervised regression machine learning analysis:

NBA Data Analysis Using Python & Machine Learning | by ...

NBA Data Analysis Using Python & Machine Learning. randerson112358. Jun 30, 2019 · 9 min read. Explore NBA Basketball Data Using KMeans Clustering. In this article I will show you how to explore data and use the unsupervised machine learning algorithm called KMeans to cluster / group NBA players. The code will explore the NBA players from 2013 ...

NBA Basketball Datasets & CSV Files | Sports Statistics ...

NBA Basketball Datasets. NBA Player and Play by Play datasets in CSV Format – perfect for machine learning / sports data analysis & visualization, and building sportsbetting prediction models. NBA Player List (CSV) Data for every player to have ever played in the NBA, and each player’s player id. NBA Player list CSV

Datasets for regression analysis | Kaggle

Datasets for regression analysis. Comments (28) Run. 3600.6 s. history Version 3 of 3. Earth Science. Cell link copied. License. This Notebook has been released under the Apache 2.0 open source license.

10 open datasets for linear regression

From the Behavioral Risk Factor Surveillance System at the CDC, this dataset includes information about physical activity, weight, and average adult diet. 3. Fish market dataset for regression. Built for multiple linear regression and multivariate analysis, the Fish Market Dataset contains information about common fish species in market sales.