01:00
Evaluating and Improving Predictions
STAT 20: Introduction to Probability and Statistics
Agenda
- Announcements
- Concept Questions
- Problem Set
- Lab
Announcements
- Problem Sets:
- PS 16 (one-side) released Tuesday and due next Tuesday at 9am
- PS 17 (one-side) released today and due next Tuesday at 9am
- Extra Practice released Thursday (non-turn in)
- Lab 5:
- Lab 5.1 released Tuesday and due next Tuesday at 9am
- Lab 5.2 released Thursday and due next Tuesday at 9am
- Lab 5 Workshop next Monday
Concept Questions
Which four models will exhibit the highest \(R^2\)?
# A tibble: 4 × 5
name hours cuteness food_eaten is_indoor_cat
<chr> <dbl> <dbl> <dbl> <lgl>
1 castiel 12 9 175 TRUE
2 frank 18 10 200 TRUE
3 luna 19 9.5 215 FALSE
4 luca 10 8 218 FALSE (Intercept) cuteness food_eaten is_indoor_catTRUE
-3.800000e+01 6.000000e+00 2.815002e-16 -4.000000e+00 How many hours does the model predict Frank will sleep each day? Write out the linear equation of the model from the model output to help you.
03:00
Which is the most appropriate non-linear transformation to apply to time_being_pet?
01:00
Problem Set
25:00
Break
05:00
Lab
45:00
End of Lecture
Evaluating and Improving Predictions STAT 20: Introduction to Probability and Statistics