Year	"Regular"	"High End"
0	1000	1000
1	631	869
2	468	743
3	382	653
4	326	593
5	289	551
6	262	517
7	241	491
8	223	468
9	207	445
10	194	427
11	183	409
12	173	394

Run the Beta Geometric model and produce forecasts for both datasets ("High End" and "Regular"), but only use four periods for model calibration instead of the full seven that we used in class. Then also compare the model you obtain using seven years of data. Briefly

describe your results and any key conclusions that you draw from them. Be sure to compute in- sample and out-of-sample MAPE (Mean Absolute Percentage Error).