Answer the 6 question in 2 to 3 pages i have done all the commands but i need the write up part(forecasting) if there is anyadditionalchanges i make i will send it before the due date than k you...


Answer the 6 question in 2 to 3 pages


i have done all the commands but i need the write up part(forecasting)


if there is anyadditionalchanges i make i will send it before the due date than k you


Purpose: Use the seasonal multiplicative Holt-Winters method to develop a forecast for the non-seasonally adjusted monthly Total: New Privately Owned Housing Units Started (HOUSTNSA) for January through December 2013. Note: the data is scaled in thousands of units.


Task: Use the tssmooth command with the multiplicative seasonal Holt-Winters method to create a forecast of monthly housing starts for January through December 2013, a monthly seasonal index, the 95% forecast confidence interval, a graph of the results, goodness-of-fit measurements, and a chart of the forecast vs. actual values with upper and lower 95% forecast intervals.


Directions: UsingthemultiplicativeHolt-Wintersmethoddiscussedinclassandthenon-seasonallyadjusted monthly Total: New Privately Owned Housing Units Started (HOUSTNSA) series from the Federal Reserve FRED Economic Data and make a forecast for the next 12 months and provide the following information:


. (1) The forecast for each of the 12 months from January 2013 through December 2013.


. (2) The 95% upper and lower forecast confidence interval for each of the forecasted months.


. (3) The seasonal index for each of the 12 seasonal periods (months).


. (4) The mean squared error, root mean squared error (mean absolute deviation), and percentage error of the in-sample forecast error.


. (5) The number and percentage of forecast observations that fall outside of the upper and lower 95% forecast intervals.


(6) A chart of the actual vs. forecasted results including the upper and lower 95% forecast interv

May 14, 2022
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