StatsSports20

Repository for Skidmore's Fall 2020 class: Statistics in Sports

10/2/20

Exam 1

9/30/20

Logistic Regression review

9/23/20 and 9/25/20

Logistic regression and logistic regression lab

9/18/20

HW 3 due

Lab: Quadratic terms, MAE/MSE, AIC

Review lecture notes from Weds

9/16/20

Hand-coding at start of class

AIC and model selection (start of notes)

9/11/20

HW 2 due

Lab: dplyr, regression, residuals, and prediction

9/9/20

Lecture 3: Multiple/multivariable regression in baseball

Coding: Residual plots and regression output

9/4/20

HW 1 due

Lab 2: Baseball Statistics

9/6/20

Lecture 2: Baseball statistics and what makes a metric?

Coding: correlation in MLB

8/28/20

Review Markdown, class expectations

How to set up for a Statistics Lab

Lab 1: Intro to R/RStudio/Tidyverse

8/26/20

Intro and Syllabus

Lecture 1: Overview of Sports and Statistics

RStudio interface and introduction

Readings: No readings, but install R/RStudio per instructions

HW 0 due on Friday