Class Notes This outline reflects a future extended version of the course that is not yet completely implemented; not-yet-existing modules are shaded in light blue; the numbers of existing modules are consistent with those on the class schedule in the syllabus.
Part 1		SIMPLE LINEAR REGRESSION
Module 1		Simple Linear Regression
Module 2		Statistical Inference
Module 3		Diagnostics & Remedies
Part 2		MULTIPLE LINEAR REGRESSION & GENERAL LINEAR MODEL
Module 4		Matrix Representation of the Regression Model
Module 5		Multiple Regression & the General Linear Model
Module 6		Polynomial Regression & Interactions
Module 7		Qualitative Independent Variables
Module 8		General Linear Tests
Module 9n		Model Building & Specification
Part 3		COMPLICATIONS OF MULTIPLE REGRESSION:  DIAGNOSTICS & REMEDIES
Module 10		Outlying & Influential Observations
Module 9		Partial Regression Plots
Module 11		Collinearity & Ridge Regression
Module 12		Heteroskedasticity
Module 13		The Bootstrap
Part 4		SPECIAL DATA STRUCTURES
Module 14		Autocorrelation in Time Series Data
Module 14b	X	Pooled Time Series of Cross Sections
Module 14c	X	Multi Level Models
Module 16	X	Missing Values & Selection Bias
		STATISTICAL TABLES
		REFERENCES