# Regression & Univariate Statistics

### Under revision August 2019

I am currently revising my website for regression & univariate statistics. If you want the old version of the landing page, click here. I've updated the look and current files for Part 1: Basics (I still have to add text files for most of the modules). For Parts 2 and 3, I've got modules with PowerPoint and R code, but still have to update the narrative files.

### Purpose

The website is an introduction to univariate statistics for students of psychology and related disciplines. It is based on my first-year graduate course in univariate statistics. For many years, I used SAS for teaching statistics. I've recently switched to R software, which is free. In this site you will find versions of my lectures and programming code for computation.

### Part 1: Basics

This section deals with topics that are universal to statistics. The Basics section has three lab modules that teach some basics in using the R software. You will also find modules on the following topics:

• statistical jargon
• data distributions and graphs (histograms and boxplots)
• central tendency & variability
• normal distribution
• sampling distributions
• conventional hypothesis testing
• chi-square & F distributions
• ### Part 2: ANOVA

In this section, you can find modules on the following topics:

• the t-test
• one-way ANOVA
• post-hoc tests
• factorial ANOVA
• random-effects and repeated measures ANOVA
• ### Part 3: Correlation & Regression

In this section, you will find modules on the following topics:

• correlation
• simple regression (single independent variable)
• multiple regression (2 or more independent variables
• regression diagnostics (model fit, estimation problems)
• partial and semi-partial correlation
• prediction
• indices of variable 'importance'
• nonlinear relations (curves and interactions)
• analysis of covariance (ANCOVA)