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	5351
1	February	2	5511
1	March	3	6544
1	April	4	6545
1	May	5	5455
1	June	6	4607
1	July	7	4699
1	August	8	3715
1	September	9	3361
1	October	10	3253
1	November	11	3348
1	December	12	4217
2	January	13	4246
2	February	14	4747
2	March	15	5419
2	April	16	4760
2	May	17	4473
2	June	18	3937
2	July	19	3344
2	August	20	2872
2	September	21	2535
2	October	22	2787
2	November	23	2712
2	December	24	3092
3	January	25	3313
3	February	26	3638
3	March	27	3679
3	April	28	3788
3	May	29	3609
3	June	30	2889
3	July	31	2453
3	August	32	2158
3	September	33	1877
3	October	34	1758
3	November	35	1992
3	December	36	2342

Group of answer choices

1. Linear Trend (Time Series Regression)

2. Weighted Moving Average

3. Simple Moving Average

4. Exponential Smoothing

5. Linear Trend (Time Series Regression) with Seasonality