January 2024
Beginner
672 pages
18h 58m
English
Content preview from Statistics Slam DunkBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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5 Regression models
This chapter covers
- Identifying and treating outliers
- Running and interpreting statistical tests of normality
- Computing and visualizing correlations between continuous variables
- Fitting and interpreting multiple linear regressions
- Fitting and interpreting regression trees
In this chapter, we’ll demonstrate how to fit regression models, namely, multiple linear regressions and regression trees. Our dependent, or target, variable will be regular season wins, and our independent variables, or predictors, will be the full complement of hustle statistics that the NBA began recording during the 2016-17 season. These statistics include but aren’t limited to blocked shots, deflections, and loose balls recovered. Hence, we’ll be regressing ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.