StatsTest Blog
Experimental design, data analysis, and statistical tooling for modern teams. No hype, just the math.
Multivariate Multiple Linear Regression
Multivariate multiple linear regression is a statistical method used to predict one or more dependent variables using one or more independent variables.
Ordinal Logistic Regression
The StatsTest Flow: Prediction >> Ordered Categorical Dependent Variable Not sure this is the right statistical method? Use the Choose Your StatsTest workflow to select the righ...
Simple Linear Regression
Simple Linear Regression is a method used for predicting one continuous variable using one other variable or for understanding the numerical relationship between then.
Simple Logistic Regression
Simple Logistic Regression is a statistical method used to predict a single binary variable using one other continuous variable.
Cramer's V
Cramer's V can be used to understand the strength of the relationship between two categorical variables with two or more unique values per variable.
Kendall's Tau
Kendall's Tau measures the relationship between two variables when one or more of the variables is ordinal, non-linear, skewed, or has outliers.
Partial Correlation
Partial Correlation is used to examine the relationship between two continuous variables while accounting for the effects of one or more other variables.
Pearson Correlation
Pearson Correlation is used to measure the relationship between two continuous variables when they are not skewed, ordinal, and don't have outliers.
Phi Coefficient
The Phi Coefficient can be used to determine the strength of the relationship between two binary variables.
Point-Biserial Correlation
Point biserial correlation is used to measure the relationship between two variables when one variable is binary and the other is continuous.
Spearman's Rho
Spearman's Rho measures the relationship between two variables when one or more of the variables is ordinal, non-linear, skewed, or has outliers.
