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. Calculate the Theil's U-Statistic for each forecasting, and explain which forecasting is the best. 5. Compare 3 and 4 above.
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. Calculate the Theil's U-Statistic for each forecasting, and explain which forecasting is the best. 5. Compare 3 and 4 above.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Solve 4,5 and 6
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.
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
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