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Data Analysis Learning
Tutorials
At the beginning
Main Chapters
1. Getting Started with Regression
2. Basics of Simple Linear Regression
3. The null model
4. Fitting curves with the linear model
5. Linear models with a categorical (factor) explanatory variable
6. Multiplicative linear models
7. Power law linear models
8. Linear models with both numeric and factor explanatory variables
9. Linear models with both numeric and factor explanatory variables without interaction
10. Multiple linear regression models
11. Linear models with a single factor explanatory variable having three or more levels (One-way analysis of variance)
12. Linear models with two explanatory factor variables (Two-way analysis of variance)
13. Modelling count data using the Poisson distribution
14. Poisson modelling of count data: Two examples
15. Modelling proportion data using the binomial distribution
16. Analysis of contingency tables
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