Consider monthly data on the number of program attendees at Los Angeles libraries from July 2013 through July 2017. (File: Library) a. Make 12 monthly indicator variables. Use the indicator variables for January through November and fit a linear trend along with these 11 indicator variables to the data series. Provide the JMP regression output showing the estimated coefficients of the model. b. Check the residuals from the trendseasonal model for randomness with a time series plot and ACF. What do you conclude? Show output. c. Based on what you found in part (b), create one more predictor variable. Use this newly created variable along with the trend variable and all the 12 monthly indicators in a forward stepwise selection based on AIC. Provide the JMP regression output showing the estimated coefficients of the selected model. d. Perform all residual analysis (randomness and distribution) on the fitted model from part (c). Show output. e. The series ended in July 2017. Based on the model found in part (c), forecast attendees for August and September 2017. Show work