Problem 1 The table below presents data for tire sales in the Costco Branch at South...
Problem 1 The table below presents data for tire sales in the Costco Branch at South Dakota Avenue, Washington D.C. from the months of July through December of the Year 2017. Automobile Tire Sales 550 576 590 602 622 664 689 905 860 869 886 920 Y ear 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 Month Janua Februar March April June Jul August September October November December a. Compute a two-month moving average. What is...
1. For the data below: Automobile Battery Sales 20 21 15 14 13 16 Automobile Battery Sales 17 18 20 20 21 23 Month Month anuary ebruary March pril May uly ugust eptember tober November une ecember a. Develop a three-month moving average b. Compute MAD Q.2 Usesimple exponential smoothing with a 0.33 to forecast the tire sales for February through May. Assume that the forecast for January was for 22 sets of tires Solve these both Qs Displaying 1...
please i need asap answer 1. Given the data below, compute for the following: a) Forecasts for P5 to P12 using a 4-period simple moving average b) Forecasts for P5 to P12 using a 4-month weighted moving average with the following weights: Most recent period = 0.40 2nd most recent period = 0.30 3rd most recent period = 0.20 4th most recent period = 0.10 Assuming a forecast of 5,000 units for Period 4 and a = 0.30, compute for...
this is a really long assignment and I need help Question 1: Wendy's Happy Homes Inc manufactures Home Appliances. Monthly sales of Wendy's Washers and Dryer Sets for a nine month period were as follows: MONTH Washer and Dryer Sales 490 480 450 500 480 470 490 520 530 January February March April May June July August September Forecast October sales using 1) A four-month moving average 2) a six-month moving average 3. Compute the MAD for each forecast method...
Question 1: Wendy's Happy Homes Inc manufactures Home Appliances. Monthly sales of Wendy's Washers and Dryer Sets for a nine month period were as follows: MONTH Washer and Dryer Sales 490 480 450 500 480 470 490 520 530 January February March April May June July August September Forecast October sales using 1) A four-month moving average 2) a six-month moving average 3. Compute the MAD for each forecast method you used Actual October sales were 320 nits. 4) Which...