again I have to guess that you want to drop the average in ssxy in simple linear regression.
You can write SSxy three different ways...
The last is best for obtaining means and variances, since x is usually fixed and y is random.
I must prove that the sum of xiyi is equal to the sum of yiXi
I am given that xi=(Xi-X average) and yi=(Yi-Y average)
This is a question having to do with the Classic Linear Regression Model. The assumptions of the CLRM should hold, that is.
Note that the second part of the equation has a big Xi
Any help with proving this would be awesome.