01 01 part 1 of 4 Introduction

01 01 part 2 of 4 Basics of least squares

01 01 part 3 of 4 Technical Details

01 01 part 4 of 4 Introductory Data Example

01 02 Part 1 of 1 Basic notation and background

01 03 part 1 of 3 Least squares for linear regression

01 03 Part 2 of 3 Least squares for linear regression code example

01 03 Part 3 of 3 Details of mathematics for least squares for linear regression

01 04 Part 1 of 1 Regression to the Mean

01 05 Part 1 of 3 Statistical Linear Regression Models

01 05 Part 2 of 3 Interpreting Linear Regression Coefficients

01 05 part 3 of 3 Linear Regression for Prediction

01 06 part 1 of 3 residuals and residual variation

01 06 part 2 of 3 residuals and residual variation coding examples

01 06 part 3 of 3 estimating the residual variance

01 07 part 1 of 3 Inference in regression

01 07 part 2 of 3 coding example

01 07 part 3 of 3 prediction

02 01 part 1 of 3 multivariable regression

02 01 part 2 of 3 detailed explanation of multivariable regression

02 01 part 3 of 3 Multivariable Regression Some Details

02 02 part 1 of 4 multivariable regression examples

02 02 part 2 of 4 multivariable regression examples

02 02 part 3 of 4 multivariable regression examples

02 02 part 4 of 4 multivariable regression examples

02 03 Part 1 of 1 Adjustment Examples

02 04 v2 Part 1 of 3 Diagnostics

02 04 v2 Part 3 of 3 Diagnostics

02 04 v2 Part 2 of 3 Diagnostics

02 05 Part 1 of 3 Model Selection

02 05 Part 2 of 3 Model Selection

02 05 Part 3 of 3 Model Selection

03 01 Part 1 of 1 Generalized Linear Models

03 02 Part 1 of 3 Logistic regression

03 02 Part 2 of 3 Logistic regression

03 02 Part 3 of 3 Logistic regression

03 03 Poisson regression, part 1 of 2

03 03 Poisson regression part 2 of 2

03 04 Hodgepodge