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…

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

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…

Multiple linear regression is a method we can use to understand the relationship between several explanatory variables and a response variable.  Unfortunately, one problem…

A pie chart is a circular chart that uses “pie slices” to display the relative sizes of data. This tutorial explains how to…

Multiple linear regression is a method we can use to understand the relationship between several explanatory variables and a response variable.  Unfortunately, one problem…

Levene’s Test is used to determine whether two or more groups have equal variances. This is a widely used test in statistics because…