Regression for Linguists
D. Palleschi
References
Overview
Course overview
Resources and Set-up
Day 1: Simple linear regression
1
Understanding straight lines
2
Simple linear regression
3
Continuous predictors
Day 2: Multiple regression
4
Multiple Regression
5
Categorical predictors
Day 3: Logistic regression
6
Logistic regression
Report 1
7
Report 1
Mixed models
8
Independence
9
Random intercepts
10
Random slopes
11
Shrinkage and Partial Pooling
12
Model selection
13
Model selection: Example
Report 2
14
Report 2
References
References
Code
14
Report 2
Source Code
# References {.unnumbered}
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