Stata Statistics Tutorial

Hierarchical regression is a technique we can use to compare several different linear models. The basic idea is that we first fit a…

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…

Linear regression is a method we can use to understand the relationship between one or more explanatory variables and a response variable.…

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…

Many statistical tests require one or more variables to be normally distributed in order for the results of the test to be…

A one-way ANOVA is used to determine whether or not different levels of an explanatory variable lead to statistically different results in…

Multiple linear regression is a method you can use to understand the relationship between several explanatory variables and a response variable. This tutorial explains…

A Chi-Square Test of Independence is used to determine whether or not there is a significant association between two categorical variables. This tutorial explains…

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…

McNemar’s Test is a test we can use to determine if there is a statistically significant difference in proportions between paired data. This…