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…

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…

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…

A scatterplot is a type of plot that we can use to display the relationship between two variables. It helps us visualize…

A box plot is a type of plot that we can use to visualize the five number summary of a dataset, which includes:…

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…

A stem-and-leaf plot is a chart we can use to display data by splitting up each value in a dataset into a stem and…