General feedback Assignment 1

• Points relevant for multiple groups

Continue Assignment 2:

• Assumptions

• Influential cases

• Classification

Interpretation of the Model

• R squared for variance
• Coefficients (for logistic quite important)
• Significance tests for coefficients and model

Interpretation of the Model

• R squared for variance
• Coefficients (for logistic quite important)
• Significance tests for coefficients and model

Assumptions & Outliers

• Book and Slides are complementary, check both!
• Show/explain why you meet the assumption
• Check outliers substantially when removing (or explain very clearly why removing).

Code in HTML

• Please show all code you use.
• Code and text together show understanding.
• Some decisions/conclusions are mentioned, but no code is shown to check (e.g. processing steps).
• Remember: HTML is graded in the end.

Assumptions:

• Check for all assumptions
• Explain what actions are taken/not taken
• Explain effect of violation or of actions

Influential cases:

• Same as for assumptions
• Run model again after taking steps

Classification:

• Use a confusion matrix
• Sensitivity and Specificity

Work on Assignment 2, deadline is next week: Thursday 18th of January, 17:00!

Next workgroup meeting to finish up the assignment

Note: E-mail questions for wrap-up lecture to Kyle
before this Friday!