Simple Linear Regression [see description]

A lecture on the simple linear model made in the context of the GRS course at the IBL, Leiden University (2021).

Chapters:

0:00 Introduction
0:37 Linear relationship
0:58 Intercept & slope
1:54 Example data
2:37 Step 1: Enter the data in R
2:48 Step 2: Plot the data
3:16 Step 3: Fit the model
3:41 Model assumptions
4:57 What are residuals?
5:46 Step 4: Model diagnostics
6:12 Model diagnostics: Residuals vs Fitted
6:37 Model diagnostics: Scale-Location
7:03 Model diagnostics: QQ-plot
7:24 Model diagnostics: Cook's Distance vs Leverage
8:27 Example violation 1
9:13 Example violation 2
9:50 Example violation 3
10:38 Example violation 4
11:06 What to do in case of violations?
12:30 Step 5: Regression table
15:44 R-squared interpretation
16:30 Drawing conclusions from the output
18:27 Step 6: Plot the model
18:42 Extra: Prediction interval
18:57 Summary