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1. Find the forecasting results based on each year (1991-1995) using the simple linear regression. 2. Find the forecasting results based on each year using the overall average (1991- 1995). 3. Calculate the MSE for each forecasting and for each method, and explain which forecasting is the best. 4. 5. Compare 3 and 4 above. 6. Interpret the results. Calculate the Theil's U-Statistic for each forecasting, and explain which forecasting is the best.

1. Find the forecasting results based on each year (1991-1995) using the simple linear regression. 2. Find the forecasting results based on each year using the overall average (1991- 1995). 3. Calculate the MSE for each forecasting and for each method, and explain which forecasting is the best. 4. 5. Compare 3 and 4 above. 6. Interpret the results. Calculate the Theil's U-Statistic for each forecasting, and explain which forecasting is the best.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Table 2-2: Monthly Australian X production from January 1991 to August 1995. Month January February March * 1991 164 152 April 144 150 154 126 127 May 155 129 137 131 151 June 125 131 129 125 130 July 153 145 128 127 119 August 146 137 140 143 153 September 138 138 143 143 October 190 168 151 160 November 192 176 177 190 December 192 188 184 182 ☆ 1992 147 133 163 1993 139 143 150 1994 151 134 164 1995 138 136 152
Transcribed Image Text:Table 2-2: Monthly Australian X production from January 1991 to August 1995. Month January February March * 1991 164 152 April 144 150 154 126 127 May 155 129 137 131 151 June 125 131 129 125 130 July 153 145 128 127 119 August 146 137 140 143 153 September 138 138 143 143 October 190 168 151 160 November 192 176 177 190 December 192 188 184 182 ☆ 1992 147 133 163 1993 139 143 150 1994 151 134 164 1995 138 136 152
1. Find the forecasting results based on each year (1991-1995) using the simple linear regression. 2. Find the forecasting results based on each year using the overall average (1991- 1995). 3. Calculate the MSE for each forecasting and for each method, and explain which forecasting is the best. 4. 5. Compare 3 and 4 above. 6. Interpret the results. Calculate the Theil's U-Statistic for each forecasting, and explain which forecasting is the best.
Transcribed Image Text:1. Find the forecasting results based on each year (1991-1995) using the simple linear regression. 2. Find the forecasting results based on each year using the overall average (1991- 1995). 3. Calculate the MSE for each forecasting and for each method, and explain which forecasting is the best. 4. 5. Compare 3 and 4 above. 6. Interpret the results. Calculate the Theil's U-Statistic for each forecasting, and explain which forecasting is the best.
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