**Goodness of Fit
**R squared part 1 (Ben Lambert)

R squared part 2 (Ben Lambert)

The Coefficient of Correlation (ProfessorSerna)

Statistics 101: Simple Linear Regression (Part 4), Fit and the Coefficient of Determination (Brandon Foltz)

Adjusted R squared (Ben Lambert)

**ANOVA**

Multiple regression 2 – (F test and T test) (Jason Delaney)

Multiple regression 5 – F test for a subset of variables (Jason Delaney)

Multiple Regression Part 4. The Global Test (ProfessorSerna)

What Is the F-test of Overall Significance in Regression Analysis?

Statistics PL11 – Inferences about Population Variances (Brandon Foltz)

Inference for Variances (Jason Delaney)

The F statistic – an introduction (Ben Lambert)

**Regressor Tests and Stats**

Hypothesis testing in linear regression part 1 (Ben Lambert)

Hypothesis testing in linear regression part 2 (Ben Lambert)

Hypothesis testing in linear regression part 3 (Ben Lambert)

Hypothesis testing in linear regression part 4 (Ben Lambert)

Hypothesis testing in linear regression part 5 (Ben Lambert)

Inference on the Slope (The Formulas) – standard error and hypothesis test (jbstatistics)

What is the standard error of the coefficient? (Minitab Docs)

**Interpretation and Examples**

Multiple regression 4 – how to interpret regression models (Jason Delaney)

Multiple Regression – Estimated regression equation practice problem – 15.07 (Jason Delaney)

Multiple Regression – Dummy variables – 15.37 – RestaurantRatings (Jason Delaney)

Statistics 101: Multiple Regression (Part 3A), Evaluating Basic Models (Brandon Foltz)

Statistics 101: Multiple Regression (Part 3B), Evaluating Basic Models (Brandon Foltz)

Filling in regression tables (Jason Delaney)

A Mathematical Primer for Social Statistics (Quantitative Applications in the Social Sciences) 1st Edition by John Fox

– Chapter on Statistical Inference in Regression