Thank you for the timely response! I have understood the interpretation of Proc GAM graphical output. 1) Generalized Additive Model (GAM) : Y = B0 + S(X) ; (This says the relationship between Y and X is unknown and S(X) is a function with unknown relationship) 2) GAM separates out the linear and non-linear trend of the predictor variable to Y = B0 + B1(X) + F(X); (where B1(X) is the linear part and F(X) is the non-linear part) 3) Estimates are computed separately for the linear part and the non-linear part The predictions from non-linear part (called as partial predictions) are plotted against the predictor variable in the figure. Thus the figure depicts the non-linearity part of the relationship between Y and X (if at all there is any). If there is no non-linearity no curve would be generated. Krishnan ... View more

A friendly suggestion: it's not necessary to submit a given post in multiple forums. Scott Barry SBBWorks, Inc. ... View more