1. Some general comments on Assignment report

2. Work on Assignment 1: Exploratory analysis

based on practicals:

• Annotate code

• Write text to explain your steps

• Explain variables clearly (in text)

• Choose what to include
  > Use head(), warnings=FALSE, make tables

• Style plots, tables, text

You perform a multiple linear regression analysis in R and report this using R markdown. The assignment will be graded on the following elements:

• Context: Introduction of your research questions, description and potential processing of your data. (Week 1 & 2)
• Exploratory data analysis: Inspection of potential interesting relations in the data. (Week 3)
• Linear regression: Description of the building process, the model fit, and the model comparison procedure. (Week 4)
• Assumptions: Testing of model assumptions, checking for outliers and influential cases. Act upon and reflect on violations when needed. (Week 5)
• Interpretation: Substantive interpretation of the final model. Answers to your research questions. (Week 5)
• Layout: Structure of the document, output is efficiently presented, custom functions are developed when needed. Graphs are used where fitting. (Week 3)

You perform a multiple linear regression analysis in R and report this using R markdown. The assignment will be graded on the following elements:

Context: Introduction of your research questions, description and potential processing of your data. (Week 1 & 2)

Exploratory data analysis: Inspection of potential interesting relations in the data. (Week 3)

Layout: Structure of the document, output is efficiently presented, custom functions are developed when needed. Graphs are used where fitting. (Week 3)

Work on exploratory data analysis.

For next meeting: prepare yourself so you can do the linear regression steps in the meeting next week.