Correlations and Multivariate Techniques
Explore the Multidimensional Behavior of Variables
Multivariate data involve many variables instead of one (univariate) or two (bivariate). Use the Multivariate platform to explore how multiple variables relate to each other. The Multivariate platform provides many techniques to summarize and test the strength of the linear relationship between each pair of response variables. Both parametric and nonparametric correlations tests are available in the platform. You can also use graphical features, such as the Scatterplot Matrix and Color Maps, to identify dependencies, outliers, and clusters among the variables.
There are additional multivariate analysis techniques to further examine the relationship between variables, including principal components analysis, outlier analysis, and item reliability. These techniques are available through the Multivariate report. You can also use the Principal Components Analysis and Outlier Analysis platforms in JMP for more in-depth implementations of these techniques.
Figure 3.1 Example of a Multivariate Report
