The monthly sales for Yazici Batteries, Inc., were as follows:
|
Month |
Sept |
Oct |
Nov |
Dec |
|
Sales |
20 |
21 |
23 |
24 |
a) Compute the January sales forecast using a trend projection.
Using a method of trend projection, the forecast for January Sales is __________. (Round your response to two decimal places.)
b) The regression equation is _______________.
The average Sales increase per month is __________.
c) Using a method of trend projection, the forecast for April is _______. (Round your response to two decimal places.)
The March sales forecast using a method of trend projection is __________. (Round your response to two decimal places
In order to perform regression we need to assign a numerical value to the months. In this case we could assign 9, 10, 11, 12 to Sept, Oct, Nov, and Dec. Now using this we can form a regression equation and then consider the next year’s values as follow up numbers such as January is 13, February is 14 and so on.
The calculated forecast is shown below

a)
January sales forecast is 25.50
b)
The regression equation is
y = 7.3 + 1.4x
The average sales increase per month is (given by the slope) 1.4
c)
The forecast for April is 29.70
d)
The March sale forecast is 28.30
The monthly sales for Yazici Batteries, Inc., were as follows: Month Sept Oct Nov Dec Sales...
The monthly sales for Yazici Batteries, Inc., were as follows: Month Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov DecSales 19 21 17 14 11 18 16 19 20 20 23 23b) The forecast for the next month (Jan) using the naive method (round your response to a whole number)The forecast for the next period (Jan) using a 3-month moving average approach =(round your response to two decimal places)The forecast for the next period (Jan) using a 6-month weighted average with weights ofandwhere the heaviest weights are applied to the most recent month = (round your response to one decimalplace)Using...
The monthly sales for Yazici Batteries, Inc., were as follows:MonthJanFebMarAprMayJunJulAugSeptOctNovDecSales202115121518151922212124This exercise contains only parts b and c. b) The forecast for the next month (Jan) using the naive method = _______ sales (round your response to a whole number) The forecast for the next period (Jan) using a 3-month moving average approach = _______ sales (round your response to two decimal places) The forecast for the next period (Jan) using a 6-month weighted average with weights of 0.10, 0.10, 0.10, 0.20,0.20, and 0.30,...
The monthly sales for Yazici Batteries, Inc., were as follows: Jan Month Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec 24 Sales 19 23 16 15 13 15 17 18 22 21 23 This exercise contains only parts b and c. b) The forecast for the next month (Jan) using the naive method 24 sales (round your response to a whole number) The forecast for the next period (Jan) using a 3-month moving average approach 22.67sales (round...
The monthly sales for Yazici Batteries, Inc. were as follows: Month Jan 20 Feb 21 Mar 16 Apr May 15 13 Jun 18 Jul 15 Aug Sept Oct Nov Dec 18 19 22 202 This exercise contains only parts de b) The forecast for the next month (Jan) using the naive method = 24 sales (round your response to a whole number) The forecast for the next period (Jan) using a 3-month moving average approach = 22 sales (round your...
The monthly sales for Yazici batteries were as follows on January 21, February 20, March 16, April 15.May 15,June 18,July 17,August 18, September 22, October 20, November 21, December 24. forcast for the next month (Jan) using the naive method. The forecast for the next period (Jan) using the 3-month moving approach. Using smoothing with a=0.30 and a September forecast of 18.00 the forecast for the next period (Jan) sales.
Question 1: The monthly sales for Telco Batteries, Inc. in a given year were as follows: Month Jan Feb Mar Apr May June July Aug Sep Oct Demand 46 47 50 49 50 48 51 49 52 53 Nov. Dec. 52 54 C. Forecast next year January sales using the following methods: I. Linear regression (You can use excel to get slope and intercept) ii. Trend adjusted exponential smoothing model. Use a = 0.2, B = 0.3, for the month...
Problem # 1The monthly sales for Telco Batteries Inc. were as follows: SalesMonth (000 units)January 20February 21March 15April 14May 13June 16July 17August 18September 20October 20November 21December 23Plot the monthly sales data.Forecast coming January sales using each of the following:The naïve approachA 6-month moving averageA 6-month weighted average using 0.1, 0.1, 0.1, 0.2, 0.2 and 0.3, with the heaviest weights applied to the most recent months.Calculate the mean absolute deviation (MAD) and the mean squared error (MSE) for each of...
1. MAD for the naive forecast = ?? sales (round your
response to two decimal places).
2. MAPE for the forecast developed by the naive approach = ?? %
(round your response to two decimal
places).
b) Using the Naive Method, the forecast for period March through June is (round your response to two decimal places) Month Unit Sales Naive Forecast Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun 102 97 95 110 124 119 95...
Sales of quilt covers at Bud Banis's discount department store in Carbondale over the past year are shown below. Management prepared a forecast using a combination of exponential smoothing and its collective judgment for the 4 months (March, April, May, and June): MonthJulAugSepOctNovDecJanFebMarAprMayJunUnit Sales98979611012412092831019890110Management's Forecast--------122116110110a) MAD for the forecast developed by the management's technique = _______ sales (round your response to two decimal places).MAPE for the forecast developed by the management's technique = _______ %(round your response to two decimal places).b)...
The monthly sales for Telco Batteries Inc., were as follows: Month Sales 20 21 15 14 13 16 17 18 20 20 21 23 Compute a five and a seven-month moving average for months 8 thru 12 Using the data from problem 2: Determine which of these forecasts are more accurate using the MAD. How would you explain MAD to your supervisor?