Regression - Lecture 8 - Data analysis using R
Channel: Danny Arends
Date: 2022-06-16

Learn about (multiple) linear regression, confidence intervals, and model selection using the R language for statistical computing and graphics. We'll be using the well known airquality data set in R to model ozone concentrations in the air depending on temperature and other factors. The lecture starts after the assignments at: 01:36:35

Lectures:  https://dannyarends.nl/rlectures/
Assignments and Answers: https://dannyarends.nl/r2022/
Playlist: https://www.youtube.com/playlist?list=PLhR2Go-lh6X4fCAa3c_TBAjZD5A25s7fo

Chapters:
00:00:00 - Sound check and introduction
00:05:07 - Answers to Assignments Lecture 7
01:10:37 - Plotting Trees by using recursion in R
01:14:27 - Break 1: Bird gifs
01:23:49 - Plotting Trees by using recursion in R (Continued)
01:36:35 - Lecture 8: Regression Analysis
01:39:26 - The Regression model explained
01:44:11 - Assumptions in Regression Analysis
01:52:14 - Homoscedasticity and Heteroscedasticity explained
01:54:20 - Regression in R with the lm function
01:58:32 - Regression: Compute and Plot Confidence Intervals
02:10:08 - Regression: Compute and Plot Residuals
02:13:52 - Multiple predictors and Regression in R
02:15:34 - Break 2: Tiger gifs
02:22:04 - Multiple Linear Regression in R
02:28:47 - Quadratic Linear Regression in R
02:34:10 - Model Selection, Occam's Razor, AIC
02:39:32 - Overview, Questions, and Outro

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