# Linear Regression

## Online Workshops

**Linear Models in R: Regression, ANOVA, and Extensions**

**Running Regressions and ANOVAs in SPSS GLM**

**Interpreting (Even Tricky) Regression Coefficients**

## Free Craft of Statistical Analysis Webinars

**Interpreting Linear Regression Coefficients: A Walk Through Output**

## Member Trainings

**Using Excel to Graph Predicted Values from Regression Models**

**ANCOVA (Analysis of Covariance)**

**Transformations & Nonlinear Effects in Linear Models**

**The Multi-Faceted World of Residuals**

**Using Transformations to Improve Your Linear Regression Model**

**Marginal Means, Your New Best Friend**

**Quantile Regression: Going Beyond the Mean**

## Articles at The Analysis Factor

**Should I Specify a Model Predictor as Categorical or Continuous?**

**What Is Specification Error in Statistical Models?**

**Steps to Take When Your Regression (or Other Statistical) Results Just Look…Wrong**

**Understanding Interactions Between Categorical and Continuous Variables in Linear Regression**

**The Distribution of Independent Variables in Regression Models**

**Differences in Model Building Between Explanatory and Predictive Models**

**Why ANOVA is Really a Linear Regression, Despite the Difference in Notation**

**The Impact of Removing the Constant from a Regression Model: The Categorical Case**

**When to leave insignificant effects in a model**

**Model Building Strategies: Step Up and Top Down**

**Five Common Relationships Among Three Variables in a Statistical Model**

**Can a Regression Model with a Small R-squared Be Useful?**

**Confusing Statistical Terms #5: Covariate**

**Making Dummy Codes Easy to Keep Track of**

**3 Situations when it makes sense to Categorize a Continuous Predictor in a Regression Model**

**Likert Scale Items as Predictor Variables in Regression**

**Why ANOVA and Linear Regression are the Same Analysis**

**Assessing the Fit of Regression Models**

**Understanding Interaction Between Dummy Coded Categorical Variables in Linear Regression**

### Stata

**Incorporating Graphs in Regression Diagnostics with Stata**

**Linear Regression in Stata: Missing Data and the Stories it Might Tell**

**Using the Same Sample for Different Models in Stata**

**Hierarchical Regression in Stata: An Easy Method to Compare Model Results**

### R

**Linear Models in R: Diagnosing Our Regression Model**

**Linear Models in R: Plotting Regression Lines**

**R Is Not So Hard! A Tutorial, Part 5: Fitting an Exponential Model**

**R Is Not So Hard! A Tutorial, Part 4: Fitting a Quadratic Model**