Multivariate analysis is commonly used when we have more than one outcome variables for each observation. For instance, a survey of American adults’ physical and mental health might measure each ...

In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation ...

Basic multivariate visualization can be useful for understanding stressor correlations. Such an understanding can be helpful in dealing with issues such as confounding and collinearity that arise in ...

Before we learn how to perform multivariate regression in Excel, it is important to have a refresher on regression as a whole and multivariate regression in particular. One of the hallmarks of human ...

This video takes us from the univariate ACE model to a multivariate ACE model: from ACE to MACE. We begin with a review of the univariate ACE model, and then extend this to two phenotypes as a ...

Exploratory Data Analysis (EDA) is an analysis approach that identifies general patterns in the data. These patterns include outliers and features of the data that might be unexpected. EDA is an ...