As most of us know, regression analysis is used when you want to predict a continuous dependent variable from a number of independent variables.
In addition, the two data matrices involved in regression are usually denoted X and Y, and the purpose of regression is to build a model Y = f(X). Such a model tries to explain, or predict, the variations in the Y-variable(s) from the variations in the X-variable(s). The link between X and Y is achieved through a common set of samples for which both X- and Y-values have been collected.
Hypothetically speaking, lets say I was able to gather data, do the regression analysis and get my "answers". What do these "answers" in the form of numbers tell you, in understandable language.
I am unsure if I am even asking the right question, but any enlightenment would be much appreciated.
Also, I am looking for an example of regression analysis used in baseball. Any direction on where I can go to see an example would also be much appreciated.