771A17 · 771A18

Autumn 2026

Statistics and Data Science II

MSc programme in Computational Social Science, Linköping University. The course works from reading a scatterplot through to saying what would settle an argument about cause.

Weeks

Slides go up here after each lecture.

  1. Week 0 Course introduction Not posted
  2. Week 1 From correlation to regression Slides
  3. Week 2 Reading a regression properly Not posted
  4. Week 3 Adding variables Not posted
  5. Week 4 Interrogating an association Not posted
  6. Week 5 When the association differs Not posted
  7. Week 6 Binary outcomes Not posted
  8. Week 7 What would settle the argument Not posted

Tools

Straight line equation

Move the intercept and the slope, and see what each one does to the line.

y = x

Regression line

Fit a line to the data and see how the sum of squared residuals change. Compare with the regression line.

ŷ = hours studied

Earlier rounds

2025 Material not available.