Metropolitan Hospital has estimated its average monthly bed needs, N, as: N=460+9X�=460+9� where X = time period (months); (January 2002 = 0) Assume that no new hospital additions are expected in the area in the foreseeable future. The following monthly seasonal adjustment factors have been estimated, using data from the past five years: Forecast Metropolitan's bed demand for January, April, July, November, and December 2007. Month Adjustment Factor (%) Forecast January +5 April -15 July +4 November -5 December -25
Metropolitan Hospital has estimated its average monthly bed needs, N, as: N=460+9X�=460+9� where X = time period (months); (January 2002 = 0) Assume that no new hospital additions are expected in the area in the foreseeable future. The following monthly seasonal adjustment factors have been estimated, using data from the past five years: Forecast Metropolitan's bed demand for January, April, July, November, and December 2007. Month Adjustment Factor (%) Forecast January +5 April -15 July +4 November -5 December -25
Chapter6: Exponential And Logarithmic Functions
Section6.1: Exponential Functions
Problem 3SE: The Oxford Dictionary defines the word nominal asa value that is “stated or expressed but...
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Metropolitan Hospital has estimated its average monthly bed needs, N, as:
N=460+9X�=460+9�
where X = time period (months); (January 2002 = 0)
Assume that no new hospital additions are expected in the area in the foreseeable future. The following monthly seasonal adjustment factors have been estimated, using data from the past five years:
Forecast Metropolitan's bed demand for January, April, July, November, and December 2007.
|
Month
|
Adjustment Factor (%)
|
Forecast
|
|---|---|---|
| January | +5 | |
| April | -15 | |
| July | +4 | |
| November | -5 | |
| December | -25 |
Suppose the following actual and forecast values for June bed demands have been recorded.
|
Year
|
Forecast
|
Actual
|
|---|---|---|
| 2007 | 1,045 | 1,139 |
| 2006 | 937 | 974 |
| 2005 | 829 | 895 |
| 2004 | 721 | 743 |
| 2003 | 613 | 656 |
| 2002 | 505 | 515 |
What seasonal adjustment factor would you recommend be used in making future June forecasts?
2.1%
5.5%
1.3%
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