help with question 40 & 41 use the result from the picture

the remaining NELU Suomi Questions 39-48 are based on the information provided below. Fresh Universe Company: 2019-2021 Monthly Units Sales Fresh Universe Company design, produce and distribute various selfcare product lines. The company wishes to develop a predictive model for one of their successful line of products. The monthly sales data for the 2019-2021 are provided. Using the ASPEtime series option, the company has (1) developed a time series plot for the three-year monthly sales data and (2) so far developed two time series models, a 12-period Moving Average model, and a Holt-Winters Additive model to compare forpredictive purposes. Also, using both models, the monthly units sales for 2022 were predicted. Please note that the data was not partitioned. The ASPE results related to the time series plot and and alternative time series models are THREE-YEAR MONTHLY UNITS SALES UNITS SALES 20.000 60.000 0.000 10.000 000 20.000 10.000 11101112131415161202526272 PERIOD NUMUR MONTH OMLETI 12-Period Moving Average Model 12 Period Moving Average Model - Error Measures: Training Holt-Winters Additive Model Holt-Winters Additive Model - Error Measures: Training Reard ID Value SSE 615463620 MSE 256859841 MAPE 7.79295697 MAD 418151389 CFE 52309.8333 MFE 218791972 TSE 12557613 Record D - Value SSE 10791677 MSE 2997677.14 MAPE 2.78941991 MAD 136597725 CFE -7500 7039 MFE -208352886 TSE -5.49109093 12-Month Moving Average Model 2022 Monthly Sales Forcasts 95% Confidence interval Holt-Winters Additive Model 2022 Monthly Sales Forcasts 95% Confidence interval 2000 0000 3000 000 000 50000 49000 40000 35000 10000 10000 nooo 30 1 3 1 3 2011 -tut-UCI Consider the time series plot above for the unit sales for the Fresh Universe. The time series shows Patterns of upward trend and seasonality Slight upward trend but no seasonal changes Only three repeated patterns of seasonality No trend patterns 40 1 point Consider time series plot for the unit sales of the Fresh Universe. With the existing pattern(s) in the time series, the most appropriate time series model(s) to consider isare): O Holt-Winters No-Trend Smoothing Model or Double Exponential Smoothing Model Holt-Winters Multiplicative Model or Simple Exponential Smoothing Method Holt-Winters Additive Model or Holt-Winters Multiplicative Model Simple Moving Average Method or Simple Exponential Smoothing Method 41 1 point Consider the 12-Month Moving Average Model results above. The value of the error mean absolute percentage error for the model is Type your