The equation says y=4.5X - 8950.33333
So, Putting X=2020, we have y= 139.67
Thus, the forecast for 2020 is 139.67
Question 1 (1 point) The number of boxes sold in th) are presented below. Quarter/Year 2017...
Quarter/Year 2017 2018 32 2019 33 40 Q2 41 03 31 Q4 - 27 29 134 31 Total 125 133 A scatter diagram between year and annual sales provide the following linear equation. Boxes sold y = 4.5x -8950.3 R'-0.8322 Boxees sold (th) 2016 2017 2019 2020 2018 Year What is your forecast for Year 2020?
Question 4 (1 point) Saved Based on the actual and forecast figures for 2019 below, what is the MAD? Quarter/Year 02 Actual Actual Actual Forecast 2017 2018 2019 2019 32 34 33 33.99 37 41 40 40.52 31 32 30.22 31 27 29 29.87 125 133 134 134.60 03 Total O 1.04 0.94 O 0.79 O 1.54 Question 5 (1 point) Saved Based on the actual and forecast figures for 2019 in previous question, what is the MAPE? 3.5% 2.6%...
Question 3 (1 point) Saved If your forecast for 2020 is 133.85, using seasonal factors based on the 3 years what is your forecast for Q2 of 2020? Quarter/Year 2017 2018 2019 32 Q3 04 Total O41.34 40.29 133.85 39.50
6. eBook The quarterly sales data (number of copies sold) for a college textbook over the past three years follow Quarter Year 1 Year 2 Year 3 1,765 1,063 2,974 2,554 1,591 1,827 935 2,646 2,423 980 2,812 2,358 4 There appears to be a seasonal pattern in the data and perhaps amoderate upward linear trend b. Use the following dummy variables to develop an estimated regression equation to account for any seasonal effects in the data: Qtrl 1 if...
A financial planner tracks the number of new customers added each quarter for a 6 year period. The data is presented below: Year Quarter New Year Quarter New 2014 I 31 2017 I 69 II 24 II 54 III 23 III 46 IV 16 IV 32 2015 I 42 2018 I 82 II 35 II 66 III 30 III 51 IV 23 IV 38 2016 I 53 2019 I 91 II 45 II ...
A relatively recent firm has been active for the last five years and now wants to forecast annual sales for the current year, 2020, based on the following historical data: Sales YEAR t (y) t*y t? 1 2015 1 3.000 3.000 2016 2 6.000 12.000 4 2017 3 8.000 24.000 9 2018 4 7.000 28.000 16 2019 5 10.000 50.000 25 SUM 15 34000 117.000 55 a. What is the forecast for this year, 2020, using a four-year simple moving...
Question 7 0.5/1 View Policies Show Attempt History Current Attempt in Progress Presented below is information related to Waterway Company. Ending Inventory (End-of-Year Prices) Price Index Date December 31, 2017 $ 76,400 100 December 31, 2018 231,240 205 December 31, 2019 225,576 234 December 31, 2020 254,762 254 December 31, 2021 305,487 273 December 31, 2022 363,089 283 Compute the ending inventory for Waterway Company for 2017 through 2022 using the dollar-value LIFO method. Ending Inventory Compute the ending inventory...
Year Quarter Sales (in Billions) 2009 1 2.62 2009 2 2.33 2009 3 2.4 2009 4 2.42 2010 1 2.72 2010 2 2.53 2010 3 2.61 2010 4 2.84 2011 1 2.95 2011 2 2.79 2011 3 2.93 2011 4 3.03 2012 1 3.44 2012 2 3.2 2012 3 3.3 2012 4 3.36 2013 1 3.79 2013 2 3.56 2013 3 3.74 2013 4 3.8 2014 1 4.24 2014 2 3.87 2014 3 4.15 2014 4 4.18 2015 1 4.8...
Suppose we have the following annual sales data for an automobile dealership: Year Sales Trend 2009 121 1 2010 187 2 2011 165 3 2012 134 4 2013 155 5 2014 167 6 2015 200 7 2016 206 8 2017 221 9 2018 231 10 We want to forecast sales for 2019 and 2020 using either a simple trend model or a quadratic trend model. Use a within sample forecasting technique...
please do in excel (1) Indicate how deferred income taxes should be presented on the balance sheet. Problem 3. Walsh Services computed pretax 1 wish Services computed pretax financial income of $220.000 for 2017 and $288,000 for 2018. In preparing the income 2017 and 2018: ... me year, the tax accountant determined the followine differences between financial income and taxable income for 2017 2018 (1) Nondeductible expenses $40,000 30,000 (2) Nontaxable revenues 14,000 22,000 (3) Unearned rent of next two...