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
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
