Yi = m(Xi) + ei
where the ei are the residuals or errors. As presented that is a nonparametric or semiparametric model, with few assumptions about m(). If one were to assume also that m(X) is linear in X one would get to a standard linear regression model:
Yi = (Xi)b + ei
where the vector b could be estimated.
Terms related to Regression Function:
None
About.Com Resources on Regression Function:
None
Writing a Term Paper? Here are a few starting points for research on Regression Function:
Books on Regression Function:
None
Journal Articles on Regression Function:
None

