Given the following data for two years, visualize/plot the data and indicate the most appropriate forecasting method if you need the forecast for each month of Year 4.

Year	Month		Sales
1	January	1	5519
1	February	2	6143
1	March	3	6032
1	April	4	6513
1	May	5	6764
1	June	6	6085
1	July	7	6197
1	August	8	6709
1	September	9	6549
1	October	10	6415
1	November	11	7603
1	December	12	6803
2	January	13	7733
2	February	14	8053
2	March	15	7024
2	April	16	7675
2	May	17	7652
2	June	18	7847
2	July	19	7765
2	August	20	8566
2	September	21	9046
2	October	22	9372
2	November	23	8154
2	December	24	8956
3	January	25	8551
3	February	26	9508
3	March	27	9259
3	April	28	9294
3	May	29	9344
3	June	30	9127
3	July	31	9529
3	August	32	9294
3	September	33	9410
3	October	34	10480
3	November	35	10278
3	December	36	10423

Group of answer choices

1. Linear Trend (Time Series Regression) with Seasonality

2. Weighted Moving Average

3. Simple Moving Average

4. Linear Trend (Time Series Regression)

Exponential Smoothing