STA 415 — Regression and Analysis

About this course

STA 415 Regression and Analysis is a 400 Level course in the Statistics department, taught in the First Semester. On La-Net Hub you can watch all 12 recorded lectures for free, grouped into 5 series, read the course lecture note online or download it as a PDF, and test yourself with practice questions.

Multicollinearity, autocorrelation and heteroscedasticity

Regression diagnostics and model improvement

Lectures in this course

Series 1: Multicollinearity, autocorrelation and heteroscedasticity

1. STA 415 F SERIES 1.1 11 minutes 1 second
2. STA 415 F SERIES 1.2 9 minutes 43 seconds
3. STA 415 F SERIES 1.3 11 minutes 21 seconds

Series 2: Regression diagnostics and model improvement

1. STA 415 F SERIES 2.1 10 minutes 57 seconds
2. STA 415 F SERIES 2.2 9 minutes 45 seconds
3. STA 415 F SERIES 2.3 10 minutes 25 seconds

Series 3: Non-linear regression, logistic regression and dummy variables

1. STA 415 F SERIES 3.1 11 minutes 37 seconds
2. STA 415 F SERIES 3.2 12 minutes 8 seconds

Series 4: Departures from ANOVA assumptions, missing values and transformation

1. STA 415 F SERIES 4.1 12 minutes 47 seconds
2. STA 415 F SERIES 4.2 12 minutes 51 seconds

Series 5: Analysis of covariance (ANCOVA)

1. STA 415 F SERIES 5.1 10 minutes 17 seconds
2. STA 415 F SERIES 5.2 8 minutes 53 seconds

Lecture note

Read the full STA 415 lecture note online or download the PDF.

Open lecture note

More Statistics courses

• STA 412 — Quadratic forms and the fisher cochran theorem
• STA 413 — Statistical Inference IV
• STA 422 — Empirical and deductive sources of knowledge
• STA 211 — Probability II
• STA 212 — Introduction to Social & Economic Statistic
• STA 221 — Statistical Inference II