### Demand Forecasting#### Historical Demand DataThe table below illustrates the actual demand observed over the last 11 years:| Year | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 ||--------|----|----|----|----|----|----|----|----|----|----|----|| Demand | 6 | 8 | 6 | 10 | 12 | 7 | 12 | 13 | 8 | 11 | 8 |#### Exponential SmoothingUsing exponential smoothing with α = 0.40 and an initial forecast for year 1 of 5.0, compute the forecast from periods 2 through 12. Round your responses to one decimal place.| Year | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 ||----------|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|| Forecast | 5.0 | | | | | | | | | | | |#### Naive ApproachProvide the forecast using the naive approach from periods 2 through 12. Enter your responses as whole numbers.| Year | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 ||----------|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|-----|| Forecast | | | | | | | | | | | |

Answered: Image /qna-images/answer/c24c4b9f-97da-4abe-8f6a-586bca3780c8.jpg

Answered: 2 4 5 6 8 9 10 11 Year Demand 6 8 6 10…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Q3A The table below contains on 48 houses: the value of the house and the amount of rental income in a year that the house brings in ("Capital and rental," 2013). Table: Data of House Value versus Rental Value Rental Value Rental Value Rental Value Rental 81000 6656 77000 4576 75000 7280 67500 6864 95000 7904 94000 8736 90000 6240 85000 7072 121000 12064 115000 7904 110000 7072 104000 7904 135000 8320 130000 9776 126000 6240 125000 7904 145000 8320 140000 9568 140000 9152 135000 7488 165000 13312 165000 8528 155000 7488 148000 8320 178000 11856 174000 10400 170000 9568 170000 12688 200000 12272 200000 10608 194000 11232 190000 8320 214000 8528 208000 10400 200000 10400 200000 8320 240000 10192 240000 12064 240000 11648 225000 12480 289000 11648 270000 12896 262000 10192…
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Please help asap if I get wrong it starts me over
Looking for the answers and explanation to questions 1,2 and 3 below. Histogram is attached so no need to run it. Your boss asks you to gather all data regarding pounds of waste across all areas identified. You go through the store archives and find data over the past 100 weeks. The weekly pounds of waste is in the chart below (treat this as population data). She wants to know if the data is normally distributed and for you to explain process variability to her. You decide to run a histogram to visually inspect for data normality. 1.) Explain to your boss the histogram and the “shape” of the curve. 2.) Is it normally distributed? 3.) Does it appear that there is high or low variability in the waste numbers? Explain to your boss. Pounds of Wasted Food 493 521 500 461 500 523 554 499 514 508 527 505 470 523 518 479 463 483 477 478 494 494 480 522 543 472 538 502 486 508 513 486 487 478 519 481…
16 In 1970, the U.S. Armed Services instituted a lottery as a random selection process when 19- year old males were drafted into service. Each of the possible 366 possible birth dates was placed in a separate capsule and each capsule was placed in a large plastic drum. Those with the lowest lottery numbers were drafted before others. For example, the May 9th was 176. This meant that there would be 175 groups of males born on other days drafted before those who had been born on May 9th. The scatter plot below shows the median draft eligible number for each month of the year. The line that connects the points is sometimes called a median trace line. Which one of the following statement is TRUE? * Median Trace of Draft Lottery Numbers 240 220- 200- 180- 160 140 120 100 F M. A Median Draft Number to
d. Construct a 95% confidence interval estimate of the difference in the mean prices between the two stores. The 95% confidence interval estimate is
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S An employee at Coconino Community College (CCC) is evaluated based on goal setting and accomplishments toward the goals, job effectiveness, competencies, and CCC core values. The categories, ratings, and weights for a particular employee are shown in this table. Weight % 2 Category Competency 1 Competency 2 Competency 3 Competency 4 Competency 5 Goal 1 Goal 2 Job Effectiveness Core Values Rating 3 2 4 2 4 4 4 3 2 433 3 20 2282 22 20 23 Compute a weighted average score for this employee. Round your answers to two decimal places. Average score for this employee:
give the answer and justify it in 3 sentences.
A statistical program is recommended. A company that sells musical instruments has been in business for five years. During that time, sales of pianos increased from 12 units in the first year to 76 units in the most recent year. The firm's owner wants to develop a forecast of piano sales for the coming year. The quarterly sales data follow. Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 1 2 3 4 5 4 7 11 12 18 2 4 forecast for quarter 2 forecast for quarter 3 forecast for quarter 4 3 9 10 1 4 5 7 13 5 14 16 22 35 Total Yearly Sales 12 29 35 50 76 (a) Use the following dummy variables to develop an estimated regression equation to account for any seasonal and linear trend effects in the data: x₁ = 1 if quarter 1, 0 otherwise; x₂ = 1 if quarter 2, 0 otherwise; and x3 = 1 if quarter 3, 0 otherwise. (Let t = 1 denote the time series value in quarter 1 of year 1; t = 2 denote the time series value in quarter 2 of year 1; ... and t = 20 denote the time series value in quarter 4 of year 5. Round…
Can you please help me answer the last question with work shown? Thanks

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