JMP’s multivariate capabilities let you understand the relationships between multiple variables simultaneously to help drive decisions. See how to reduce complicated data sets with correlated variables to a simpler set of uncorrelated variables. Then, use the reduced set of variables to explain the majority of variability in the original data.

This webinar covers: Principal components analysis, model-driven multivariate control charts, partial least squares, outlier analysis, and clustering.

Suggested prerequisites:

• Basic understanding of linear regression

Resources

• Di Michelson videos: Deeper Dive into Multicollinearity