Linear Regression

Online Workshops

Linear Models


Interpreting (Even Tricky) Regression Coefficients

The Craft of Statistical Analysis Free Webinars


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

Statistically Speaking Member Trainings



Hierarchical Regressions

Using Excel to Graph Predicted Values from Regression Models

ANCOVA (Analysis of Covariance)

Dummy and Effect Coding

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

Segmented Regression

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


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



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


Order affects Regression Parameter Estimates in SPSS GLM