let' go ahead and run that it runs pretty quicklyand we can then plot that sowe're going to create little graph here that plots our scatter plot of original points versus our predicted points jnqpsunbuqmpumjcqzqmpubtqmu yq oqmjotqbdf qmutdbuufs  qmuqmpu yqqyq  qmutipx the output looks like the following graphat this pointit looks like reasonably good fit what you want to ask yourself though is"am overfittingdoes my curve look like it' actually going out of its way to accommodate outliers? find that that' not really happening don' really see whole lot of craziness going on if had really high order polynomialit might swoop up at the top to catch that one outlier and then swoop downwards to catch the outliers thereand get little bit more stable through where we have lot of densityand maybe then it could potentially go all over the place trying to fit the last set of outliers at the end if you see that sort of nonsenseyou know you have too many orderstoo many degrees in your polynomialand you should probably bring it back down becausealthough it fits the data that you observedit' not going to be useful for predicting data you haven' seen