ANOVA in Stata
How to Perform a MANOVA in Stata
A one-way ANOVA is used to determine whether or not different levels of an explanatory variable lead to statistically different results in some response...
Regression in Stata
How to Test for Multicollinearity in Stata
Multicollinearity in regression analysis occurs when two or more explanatory variables are highly correlated to each other, such that they do not provide unique or independent information...
Regression in Stata
How to Perform Quantile Regression in Stata
Linear regression is a method we can use to understand the relationship between one or more explanatory variables and a response variable.
Typically when we...
Chi-Square Tests in Stata
How to Perform a Chi-Square Goodness of Fit Test in Stata
A Chi-Square Goodness of Fit Test is used to determine whether or not a categorical variable follows a hypothesized distribution.
This tutorial explains how to perform a Chi-Square...
Regression in Stata
How to Create and Interpret Q-Q Plots in Stata
A Q-Q plot, short for “quantile-quantile” plot, is often used to assess whether or not the residuals in a regression analysis are normally distributed.
This tutorial...
Chi-Square Tests in Stata
How to Perform McNemar’s Test in Stata
McNemar’s Test is a test we can use to determine if there is a statistically significant difference in proportions between paired data.
This tutorial explains how...
Regression in Stata
How to Obtain Predicted Values and Residuals in Stata
Linear regression is a method we can use to understand the relationship between one or more explanatory variables and a response variable.
When we perform...
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