To fit a new multiple regression model ( = 433.6352 - 146.1306X - 135.0115%, - 106.0092X; - with dummy variables for days of the 117.3819%, - 71.6296x, + 2.1227% + 0.6227t week (Mon, Tue, etc.), and to provide the regression equation (d = by+ b.x, + box, + Adjusted R = 0.9517 box, + by,+ box,+ box;+ b,t), along with Adjusted R' To use all three models: M1: d = 1.0356t + 339.29 MI M2 M3 M2: Mon. 398.3192 315.7425 286.1190 d =0.7163t + 116.7679w + 315.0262 Tue 399.3548 316.4588 299.8690 M3: (the one considering days of the Wed. 400.3904 317.1751 327.4940 week) Thu. 401.426 317.8914 318.7440 402.4616 318.6077 365.1190 to predict the demand for seven days 403.4972 436.0919 4:39.4940 ahead (Mon, Tue, ..., Sun) and find the Sun. 404.5328 436.8082 437.9940 total weekly demand TOTAL: 2809.9820 2458.7756 2474.8333 To take advantage of the fact that new New: M: 311 1: 341 W: 357 Th: 363 F: 390 53: 490 Su: 492 demand data became available and use MAPE,: 105.0991% this new date to compare the forecasts MAPE,: 90.0315% using MAPE for days 57-63. MAPE : 90.2596% To provide a line chart with the actual demand (including the new data) along Demand with the estimated values from M2 and 575 M3