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Apply a regression-based forecasting model using the attendance from 1997-2002 (i.e., not rolling regression) to generate predictions for each month of 2003 that accounts for

Apply a regression-based forecasting model using the attendance from 1997-2002 (i.e., not "rolling regression") to generate predictions for each month of 2003 that accounts for both:

(1) the general downward trend in attendance and (2) seasonality. Compute the mean absolute deviation (MAD) of the forecast errors for 2003. (please round to the closest whole number)

Year Month Attendance: Phantom Of The Opera
1997 1 48241
1997 2 47442
1997 3 61929
1997 4 49939
1997 5 49103
1997 6 62617
1997 7 48731
1997 8 63147
1997 9 44623
1997 10 47854
1997 11 58117
1997 12 49582
1998 1 48411
1998 2 49184
1998 3 62259
1998 4 48761
1998 5 58877
1998 6 48727
1998 7 47831
1998 8 59759
1998 9 42394
1998 10 48289
1998 11 58828
1998 12 49151
1999 1 58816
1999 2 44063
1999 3 45694
1999 4 48395
1999 5 57039
1999 6 47076
1999 7 45297
1999 8 59088
1999 9 40147
1999 10 55407
1999 11 43413
1999 12 44463
2000 1 52690
2000 2 45973
2000 3 48846
2000 4 61591
2000 5 44835
2000 6 44924
2000 7 53819
2000 8 44785
2000 9 37398
2000 10 50258
2000 11 41547
2000 12 53517
2001 1 45223
2001 2 44576
2001 3 45542
2001 4 60163
2001 5 42162
2001 6 43490
2001 7 54132
2001 8 45279
2001 9 33231
2001 10 36014
2001 11 34536
2001 12 48928
2002 1 39885
2002 2 42887
2002 3 55723
2002 4 39980
2002 5 36962
2002 6 50719
2002 7 45134
2002 8 46564
2002 9 43494
2002 10 37235
2002 11 35313
2002 12 52173
2003 1 36906
2003 2 32260
2003 3 44107
2003 4 43868
2003 5 39131
2003 6 55393
2003 7 46245
2003 8 56991
2003 9 34464
2003 10 42106
2003 11 50085
2003 12 41936

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