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...
Regression in Stata
How to Create and Interpret a ROC Curve in Stata
Logistic Regression is a statistical method that we use to fit a regression model when the response variable is binary. To assess how well a logistic regression...
Regression in Stata
How to Use Robust Standard Errors in Regression in Stata
Multiple linear regression is a method we can use to understand the relationship between several explanatory variables and a response variable.
Unfortunately, one problem that often occurs...
Hypothesis Tests in Stata
How to Perform Welch’s t-test in Stata
The most common way to compare the means between two independent groups is to use a two-sample t-test. However, this test assumes that the...
Regression in Stata
How to Perform Logistic Regression in Stata
Logistic Regression is a method that we use to fit a regression model when the response variable is binary. Here are some examples of when we may...
Correlations in Stata
Correlations in Stata: Pearson, Spearman, and Kendall
In statistics, correlation refers to the strength and direction of a relationship between two variables. The value of a correlation coefficient can range from -1 to...
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