Mr. Pimp (or anyone else),
Maybe you can help me with some logic on this. run this regression analysis twice. The first time I ran it with two variables, but I realized that the first variable was actually the product of two other variables, so I separated it out into it's respective pieces and re-ran the numbers, which are what I posted in the first post.
Here are the R-squared measurements of some variables from each formula:
X2 became more descriptive than X1, which makes sense because I pulled out the irrelevant part by segregating variable Z. However, the original combination of X1 and Y was actually more descriptive than X2 and Y in the new equation, and that makes absolutely no sense to me.
Can anyone explain how making one variable more descriptive actually made the combination of that variable and a constant less descriptive in the new formula?