Study Guide for summaries with Analysing Data using Linear Models by Van den Berg

Summaries per chapter with Analysing Data using Linear Models

Summaries per chapter with Analysing Data using Linear Models

• For summaries with all chapters of the 2022 edition of Analysing Data using Linear Models by Van den Berg, see the supporting content of this page

Table of content

• Chapter 1 - What are variables, variation and co-variation?
• Chapter 2 - How can we make inferences about a mean?
• Chapter 3 - How can we make inferences about proportions?
• Chapter 4 - What does linear modelling entail?
• Chapter 5 - How can we make inferences about linear models?
• Chapter 6 - What are categorical predictor variables?
• Chapter 7 - What are the assumptions of linear models?
• Chapter 8 - What should we do when the assumptions are not met?
• Chapter 9 - What does moderation entail?
• Chapter 10 - How do researchers use contrast in statistical analysis?