Any help is appreciated

The following are sales data for 20 periods of a firm and three different forecast methods and associated information. The three methods are unknown and are called M1, M2, and M3 respectively. A B C D E F G H J K Forecast M1 Forecast M2 Forecast M3 Time Sales ErrorM1 Error M2 Error M3 44.8 44.8 0 44.8 14 58.1 44.8 13.36 58.32 13.76 58.8 -0.69 0.69 W 58.4 48.8 9.62 62.49 8.97 72.08 -13.69 13.69 97.7 53.75 43.97 51.6 46.07 89.84 18.16 71.46 26.26 26.26 129.5 71.4 58.13 65.5 64.07 123.07 25.7 108 21.54 21.54 O VOUIA 110.5 95.21 15.25 84.7 25.77 121.95 12.29 148.77 -38.31 38.31 142.9 112.57 30.31 92.4 50.46 140.29 15.31 134.24 8.64 8.64 146.4 127.63 18.73 107.6 38.8 149.13 12.08 155.6 -9.25 9.25 174 133.23 40.79 119.2 54.83 170.18 16.56 161.21 12.82 12.82 10 174.6 154.42 20.13 135.6 38.91 178.21 12.3 186.75 -12.19 12.19 11 187.9 164.98 22.88 147.3 40.54 188.65 11.37 190.51 -2.65 2.65 12 201.2 178.81 22.42 159.5 41.76 200.87 11.79 200.02 1.21 1.21 13 204.8 187.88 16.88 172 32.76 207.14 9.03 212.67 -7.9 7.9 14 233.5 197.95 35.54 181.8 51.66 228.3 15.09 216.17 17.33 17.33 15 228.3 213.17 15.1 197.3 30.93 232.8 9.8 243.39 -15.13 15.13 16 246 222.18 23.82 206.6 39.38 244.98 10.99 242.6 3.39 3.39 17 266 235.92 30.08 218.4 47.57 262.99 14.5 255.96 10.03 10.03 18 280.8 246.75 34.01 232.7 48.07 279.78 15.65 277.49 3.28 3.28 19 289.9 264.25 25.68 247.1 42.82 291.58 13.72 295.43 -5.49 5.49 20 288 278.9 9.14 260 28.08 293.22 7.68 305.31 -17.26 17.26 21 286.25 268.4 300.91 27.23 37.76 -0.95 11.95 Method 1 is likely to be?Method 1 is likely to be? [Press CTRL and "-" to see the whole table by reducing the font size. Press CTRL and "+" to restore the font size] Select one: Q a. A Simple Exponential Smoothing model with alpha = 0.1 O b. An Adaptive Response Rate Exponential Smoothing (ARRSES) model 0 c. A 3 period Moving Average 0 d. A Naive model 0 e. A 4 period Moving Average