Jane Devtech Ms. Jane Devtech wants to project the sales for the opening quarter of 2023 for her two top-performing project management software solutions, SwiftManage and Taskify. 11 Initially. she employs a seasonal time series analysis method to estimate the combined sales revenue for both software products, measured in thousands of dollars. Following that she applies exponential smoothing (with a = 0.8) on historical sales data to ascertain the sales proportion attributable to each software product, allowing her to predict future sales fractions. She then calculates the forecast for each individual product by multiplying the overall sales forecast with the projected fraction for each software. The table below presents the historical data on overall sales. Quarter 2020 2021 2027 1020 1180 1195 086 1060 1102 830 920 925 1310 1355 1390 linear regression model indicates that the following equation best describes the deseasonalized data series: D - 1017.77 + 13.51 x t. Here, ( represents the time period (with the provided data covering twelve quarters from 1 through 12). and D, refers to the deseasonalized total sales for period (. D Question 1 12 pts Jane Devtech (continued) What is the forecast of the combined sales for both SwiftManage and Taskify for the first quarter of 2023? Question 2 8 pts Jane Devtech [continued) The table below presents the proportion of total sales attributed to SwiftManage for various quarters in 2022. The predicted value for Q1 of 2022 stands at 0.61. Quarter 2022 Actuals |Forecast 01 0.61 0.61 0.63 03 D.59 Q4 0.61 Using exponential smoothing with the smoothing constant ( = 0.8, estimate the share of total sales SwiftManage is expected to hold for Q1 of 2023. Please submit your forecast in decimal format (e.g., enter 0.63 rather than 63% or 63). D Question 3 4 pts Jane Devtech (continued) What is the forecast of the sales for SwiftManage in Q1 of 2023, expressed in thousands of dollars (e.g., express 50 if the forecast of the sales is 50,000)