Regression problem the article "polyglycol modified poly (ethylene ether carbonate) polyols by molecular weight advancement" by r. harris (journal of applied polymer science, 1990) contains some data on the effect of reaction temperature on the molecular weight of resulting poly polyols. the data for eight experimental runs at temperature 165 degrees celsius and above are as follows: pot temperatue, x (in celsius) 165 176 188 205 220 235 250 260 average molecular weight, y 808 904 1183 1545 2012 2362 2742 2935 use jmp to you complete the following (both plotting and computations) (a) what fraction of the observed raw variation in y is accounted for by a lnear equation in x? (b) fit a linear relationship ybbi to these data via least squares. about what change in average molecular weight seems to accompany a 1 degree increase in pot temperature (at least over the experimental range of temperature)? (c) compute and plot residuals from linear relationship fit in (b). discuss what they suggest about the appropriateness of that fitted equation. (plot residuals versus and make a normal quantile plot of residuals.) (d) based on your analysis of these data, what average molecular weight would you predict for an additional reaction run at 188 degree celsius? at 200 degree celsius? why would or wouldn't you be willing to make a similar prediction of average molecular weight if the reaction is run at 70 degree celsius?