Alabama llc collected sales dara for four months, janurary through april. the data is janurary-17, feburary -24, march -25 and april -26. usung a three month moving average. the forcaste calue of may is a. 21 b.22 c.23 d.24
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- Month Demand Forecast Error Abs Error alpha 1 20 2 18 3 21 4 25 5 24 6 27 7 22 8 30 9 23 10 20 11 29 12 22 Mean Bias MAD (mean error) Problem 6: Maverick Jeans' demand manager decided to evaluate exponential smoothing. To maintain com- parability, she used the data from problem 6, copied below. 1 Month 2 3 Demand 20 18 21 25 4 5 24 6 7 8 9 10 11 12 27 22 30 23 20 29 22 Develop forecasts for months 5-12. Calculate the Bias and MAD. Use a starting forecast of 20 for month 4 and an alpha value of 0.2. (Note: Adjust all cell values to two decimal points.)Sales in hunderds) of XYX Cc for the previous 7 months are 80, 82. 88, 95, 103, 105 and 122 respectively. Forecast the sales by 4 point moving average method for the forthcoming penod Oa 10260 units Ob 10625 units Oc 11000 units d. 113500 unitsAl Maha Plastic manufacturing Companies last Six weekly values of Sales were 90, 110, 115, 135, 140, 150 and 160 units. Forecasts (same for all the six weeks) were 110 units for all the weeks. Calculate MAD, and Tracking Signal for these six weeks. Wee k Actual Sales Forecaste d Sale Error Cumulative Error Absolute Error Cumulative Absolute Error MAD Tracking Signal 1 2 3 4 5 6 7
- March demand was pridicted at 590 units of gear cycles of trevaa ltd. But the actual demand was 400 units only so fourth the company now want to forecast the april demand using exponential smoothing model with constant alpha of 0.72., calculate the sameQuestion 1 ) The monthiy sales Of yamizí Battery company are asfollows:- Month Jales 2000 2100 1500 1400 1300 Calcuiate fore cost sales for June using each of the fo llowing method: - i) Naive Method 1M 3 Month Simple moving averoger Ti) Exponentral smoothing using an a =0:3 cand may forecast of 1600 units.QUESTIONS: Quarterly demand for a washing machine is as shown. 1. After obtaining initial estimates for level, trend, and seasonal factors. forecast the demand for the first quarter of year III using Winter's model with a 6- - 0,25 where x is the last two digits of your student number. 2. Make a tracking signal analysis for the forecast and evaluate Maks Year I II Quarter 1 2 3 4 1 2 3 4 Demand 1900 1224 4000 5600 4800 1048 6200 8000
- A method of estimating future demand usedfor decision making in order to set reasonable targets and control orlimit uncertainties or risks.Given November actual demand of 61, November forecast of 58, and an alpha of 0.4, November trend value +1.03, Beta of 0.3 what would the forecast including trend (FIT) for the December period be using exponential smoothing model 2? Select one: a. 62.03 b. cannot be found c. 68.76 d. 65.721 - The marketing 4P’s addressed. (Product, Price, Place and Promotion) Location and market description provided, your potential market share, target market and competitors identified, Product pricing strategies, advertising and promotional strategies well outlined. Product distribution and distribution means provided. 2 - Provided that you have received start-up funding of R 250 000.00, prepare a forecast where costs associated with required business resources are outline and create a budget for the first 2 months of the business. Calculate the Break-even point. 3 - Description of key personnel and the organizational structure, legal form of ownership and legal requirements that applies to your business, employments agreements etc.
- 1. National mixer, Inc. sells can openers. Monthly sales fo a seven-month . period were as follows: Sales Month (000 units) Feb-- -19 March -18 April May June- 15 20 18 July Aug.--- 22 20 a. Forecast September sales volume using each of the following: 1. A five month-moving average 2. The naïve approach 3. A weighted using .60 for August, .30 for July, and .10 for June. b. Which method seems least appropriate? And Why? c. What does use of the term sales rather than demand presume?The data shown are quarterly revenues (in Sthousands) from Roget's Books from 2013-Q1 through 2020-Q2. 6. Quarter 2013-1 2013-2 2013-3 2013-4 2014-1 2014-2 2014-3 2014-4 2015-1 2015-2 2015-3 2015-4 2016-1 2016-2 2016-3 2016-4 2017-1 2017-2 2017-3 2017-4 Revenue 2372 2740 2518 4708 2392 Quarter 2018-1 2018-2 2018-3 2018-4 2019-1 2019-2 2019-3 2019-4 2020-1 2020-2 Revenue 2725 2924 3118 5112 2777 2949 1:27:04 2811 2685 4795 2812 2893 2848 4894 2687 2903 2674 4871 2844 2933 3237 5350 3035 3028 2791 5252 Click here for the Excel Data File, Data file should open in a new browswer window. Select "File" then "Save As" to download the file to your computer and be able to use it in Excel. a. Determine the regression equation. Regression equation: ŷ = | (Round to 1 decimal places.) b. Determine the specific index for each quarter places.) dexes should be in decimal form (e.g. 1.36 not 136). Rounded to 2 decimal Quarter Quarterly Index Q1 Q2 Q3 Q4 c. What are the estimated sales (forecast) for…A marketing analyst wants to examine the relationship between sales (in $1,000s) and advertising (in $100s) for firms in the food and beverage Industry and collects monthly data for 25 firms. He estimates the model Sales-o Advertising. The following ANOVA table shows a portion of the regression results. Regression Residual df 1 23 55 78.53 504.02 MS 78.53 21.91 T 3.58