again I have to guess that you want to drop the average in ssxy in simple linear regression.
since .
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.
Thanks.