Stat 340
Module 0: Welcome to Stat 340!
(PART) Lecture Notes
1
M1: MLR fundamentals
1.1
Categorical Predictors
1.2
Multiple Linear Regression Fundamentals
1.3
Interactions
1.4
MLR Conditions and Diagnostics
1.5
Correlation
1.6
Simple Linear Regression Fundamentals
1.7
SLR: Least Squares
1.8
Goodness of Fit (SLR Edition)
1.9
Regression Assumptions and Conditions (SLR Edition)
1.10
Outliers and Special Points
1.11
Inference for a Regression Slope
1.12
Confidence and Prediction Intervals
1.13
Random variables and distributions
1.14
Moments
1.15
Joint distributions
(APPENDIX) Appendices
2
Syllabus
2.1
Course philosophy
2.2
Course objectives: what is this course for?
2.3
Course structure
2.4
The Expected and the Extras
2.5
Practical matters
2.6
Grades and Other Inconveniences
2.7
Assignment guide
3
Resource links
3.1
Contact me/the TAs
3.2
Other folks to talk to
3.3
FAQs
3.4
Helpful worksheets
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Stat 340 Notes: Fall 2025
B
Resource links