Problem 3-21 (Static)Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled water. Actual demand and the twosets of forecasts are as follows:Period12345678Demand6875707469728078PREDICTED DEMANDF2666870MAD F1MAD F2F16668727172707174Click here for the Excel Data File7274767880Compute MAD for each set of forecasts. Given your results, which forecast appears to be more accurate? (Round your answers to 1decimal place.)appears to be more accurate.

Answered: Image /qna-images/answer/975e83a3-8038-4123-bf7a-114ecae38d68.jpg

Answered: Eifferent forecasting techniques (F1 a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Problem 1P

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The table gives information about the number of people staying in a hotel each quarter in 2020 and in 2021.Calculate the 4-point moving averages for this information. year 2020 2021 quarter 1 2 3 4 1 2 3 4 people 261 353 372 290 193 309 292 202
DATA file Autoinsurance 20. Assignment 3 The average annual premium for automobile insurance in the United States is $1503 (Insure.com website, March 6, 2014). The following annual premiums ($) are representa- tive of the website's findings for the state of Michigan. 1905 2725 2677 2600 2962 2184 2332 3112 2545 2525 2370 2545 2529 2442 2312 2981 2627 2857 2675 2115 Assume the population is approximately normal. a. Provide a point estimate of the mean annual automobile insurance premium in Michigan. b. Develop a 95% confidence interval for the mean annual automobile insurance pre- mium in Michigan. C. Does the 95% confidence interval for the annual automobile insurance premium in Michigan include the national average for the United States? What is your interpreta- tion of the relationship between auto insurance premiums in Michigan and the national average?
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Month Actual demand Forecasted Demand 1 950 1000 2 1070 1000 3 1100 1000 4 960 1000 5 1090 1000 6 1050 1000 For the dataset above, compute the overall MAPE.
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Eifferent forecasting techniques (F1 a of forecasts are as follows: iod Demand 68 75 70 71 PREDICTED DEMAND F2 F1 66 68 72 71 66 68 70 72