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howdy Im professor Curtis of a spiral-bound Academy here with more statistics homework help today were going to learn how to find the best nonlinear regression model for stock market index values heres our problem statement listed below are the annual high values Y of a stock market index for each year beginning with 1990 let X represent the year with 1990 coded as x equals 1 1991 coded as x equals 2 and so on construct a scatter plot and identify the mathematical model the best fits the given data use the best model to predict the annual high value of the stock market index for the year 2007 is the predicted value close to the actual value of 11650 5 okay so first were asked to construct the scatterplot to do that we need to make the actual model itself notice here in the problem statement how were using coded years so we have to use coded years to make our model and the data set that they give us you see here doesnt have coded years so weve got to actually make that transform