Multivariate Correlation and Discriminant Function Analysis
{"Image DocumentName": "Multivariate Correlation and Discriminant Function Analysis", "Image ImageDescription": "All you have to do is substitute the X values of any individual within the predictive equation and out pops a Z value that you can use to determine which of the two groups they will most likely fall in to. That\u2019s a pretty incredible thing to know and as you can see, all we did was follow the steps prescribed throughout this book in how to structure a multivariate argument, test each individual premises to discern whether or not it matters, and then combine all of the variables into an aggregate equation in order to see which was more influential than another, followed by the formulation of a comprehensive equation that combines all of the statistically significant factors into a predictive equation to forecast an expected outcome.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}