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STATA Support
3.4 Regression with two categorical predictors
STATA Support
Start here
Getting Started Stata
Merging Data-sets Using Stata
Simple and Multiple Regression: Introduction
A First Regression Analysis
Simple Linear Regression
Multiple Regression
Transforming Variables
Regression Diagnostics
Unusual and influential data
Checking Normality of Residuals
Checking Homoscedasticity of Residuals
Checking for Multicollinearity
Checking for Linearity
Model Specification
Issues of Independence
Summary
Self Assessment
Regression with Categorical Predictors
3.1 Regression with a 0/1 variable
3.2 Regression with a 1/2 variable
3.3 Regression with a 1/2/3 variable
3.3.2 Using the xi command
3.3.3 Using the anova command
3.3.4 Other coding schemes
3.4 Regression with two categorical predictors
3.4.1 Using the xi: command
3.4.2 Using the xi: command
3.4.3 Using the xi: command
3.4.2 Using the anova command
3.5 Categorical predictor with interactions
3.6 Continuous and Categorical variables
3.7 Interactions of Continuous by 0/1 Categorical variables
3.9 Summary
3.10 Self Assessment
Multilevel Mixed-Effects Linear Regression
Multilevel Analysis - Example
Multilevel Analysis - Example: Postestimation
ANOVA - Analysis of variance and covariance
One-way ANOVA
Two-way ANOVA
N-way ANOVA
Weighted data
ANCOVA (ANOVA with a continuous covariate)
Nested designs
Mixed designs
Latin-square designs
Repeated-measures ANOVA
Graphics in STATA
Graphics
3.4.1 Using the xi: command
3.4.2 Using the xi: command
3.4.3 Using the xi: command
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