Develop spreadsheet models for forecasting


Discuss the below:

1. The Excel file Closing Stock Prices provides data for four stocks over a six-month period.

a. Develop spreadsheet models for forecasting each of the stock prices using single moving average and single exponential smoothing.

b. Using MAD, MSE, and MAPE as guidance, find the best number of moving average periods and best smoothing constant for exponential smoothing. (You might consider using data tables to facilitate your search.)

2. For the data in the Excel file Baseball Attendance do the following:

a. Develop spreadsheet models for forecasting attendance using single moving average and single exponential smoothing.

b. Using MAD, MSE, and MAPE as guidance, find the best number of moving average periods and best smoothing constant for exponential smoothing.

4. For the data in the Excel file Gasoline Prices do the following:

a. Develop spreadsheet models for forecasting prices using single moving average and single exponential smoothing.

b. Using MAD, MSE, and MAPE as guidance, find the best number of moving average periods and best smoothing constant for exponential smoothing.

5. Construct a line chart for the data in the Excel file Arizona Population.

a. Suggest the best-fitting functional form for forecasting these data.

Baseball Attendance 














0 = San Francisco Giants (1958-1967 seasons)
Year Attendance 1 = Giants plus Oakland A's after A's move to Oakland (1968-1978 seasons)
1958 1273 0




1959 1422 0




1960 1795 0




1961 1391 0




1962 1593 0




1963 1571 0




1964 1504 0




1965 1546 0




1966 1657 0




1967 1242 0




1968 1674 1




1969 1652 1




1970 1519 1




1971 2021 1




1972 1569 1




1973 1835 1




1974 1366 1




1975 1601 1




1976 1408 1




1977 1196 1




1978 2267 1




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