Use the following information to compute a single exponential smoothing model forecast with a smoothing constant (α = 0.30) to producethe actual demand for the period.) Use 115 as the initial forecast.Click the icon to view the demand for the previous 9 periods.Fill-in the table below for a single exponential smoothing forecast (enter your responses rounded to one decimal place).PeriodF(SES)123456789The forecast for period 10 isPeriod11151171822345678913310796177176(Enter your response rounded to one decimal place.)144Uat11511718213310796177176144forecast for period 10. (Note: a, is

Answered: Image /qna-images/answer/b0102ec8-64b6-4468-8ff5-5efcef42200e.jpg

Answered: Use the following information to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Nominal income refers to an income value that is not adjusted for inflation. Real income adjusts the nominal value for the rate of inflation. Real income per capita is considered a good measure of the buying power of an individual in a particular area because it adjusts for both the number of people in the area and the relative inflation of the area. According to Forbes magazine, the state with the highest annual real income per capita in 2020 is Connecticut with a real per capita income of $68,533. Suppose that the annual real income of individuals in Connecticut follows a normal distribution with a mean of $68,533 and standard deviation of $23,480. (a) What is the probability that an individual in Connecticut has an annual real income of $54,000 or more? (Round your answer to four decimal places.) (b) What is the probability that an individual in Connecticut has an annual real income of $29,000 or less? (Round your answer to four decimal places.) (c) What is the probability…
Describe the patterns in quantity sold and own and rival prices during this time period using basic descriptive statistics. Graphs are welcome as well. Take the logs of the variables, and estimate the demand function. Interpret the R-square. Interpret the coefficients for logP and logPsub Interpret the p-values associated with each independent variable Are consumers price sensitive? Why or why not? (be as precise as you can – you have estimates!). Does this price sensitivity make sense given the good we are examining? How sensitive are our consumers to changes in the rival good’s price? Explain in detail. Suppose we decide to charge a per ounce price of $2, while at the same time our rival charges a price of $2.15. All else equal, what would you expect sales to be? How confident are you in your forecast? Suppose we are charging a price of $2 and our current marginal cost is $1.50 Are we maximizing profits at this price? If not, should we raise or lower price? Why?
Suppose you needed $0.27 to buy a particular box of macaroni and cheese in 1977.How much would it cost to buy the same box of macaroni and cheese in 2003?Assume that all prices have risen at the same rate as the CPI. uestion content area bottom left Part 1 How much would it cost? Average Annual Consumer Price Index (CPI) (1982-1984=100) Year CPI Year CPI Year CPI 1976 56.9 1989 124.0 2001 177.1 1977 60.6 1990 130.7 2002 179.9 1978 65.2 1991 136.2 2003 184.0 1979 72.6 1992 140.3 2004 188.9 1980 82.4 1993 144.5 2005 195.3 1981 90.9 1994 148.2 2006 201.6 1982 96.5 1995 152.4 2007 207.3 1983 99.6 1996 156.9 2008 215.3 1984 103.9 1997 160.5 2009 214.5 1985 107.6 1998 163.0 2010 218.1 1986 109.6 1999 166.6 2011 224.9 1987 113.6 2000 172.2 2012 229.6 1988 118.3
If actual period demand varies from the forecast by more than 3MAD, this indicates: there is 3% chance that the forecast is wrong. there is a 98% chance that the forecast is wrong. there is a 97% chance that the forecast is wrong. there is a 3% chance that the forecast is correct Moving to the next question prevents changes to this answer:
arget's annual revenue data from 2005 to 2021 are available for download. Make an Excel graph of the annual data, and fit three trends (linear, quadratic, and exponential) to the time series. Copy and paste the graph in the space below or attach the file. State the three trendline equations from part a and their R2 values. Which trend model do you think is the best one to use to forecast annual revenue? Choose only one model and explain the reasons for your choice. Use the model you chose in part c to forecast the annual revenue for 2022. Annual Operating Income Year t (Millions of US $) 2005 1 46839 2006 2 52620 2007 3 59490 2008 4 63367 2009 5 64948 2010 6 65357 2011 7 67390 2012 8 69865 2013 9 73301 2014 10 71279 2015 11 72618 2016 12 73785 2017 13 70271 2018 14 72714 2019 15 75356 2020 16 78112 2021 17 93561
Please solve with accurate steps.
Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.
Please help me understand this problem show me how to do the work in excel. Question/ Use the data that i pasted below to answer this question. United Dairies, Inc., supplies milkto several independent grocers throughout Dade County, Florida. Managers at UnitedDairies want to develop a forecast of the number of half gallons of milk sold per week.a. Construct a time series plot. What type of pattern exists in the data?b. Use exponential smoothing with α = 0.4 to develop a forecast of demand for week13. What is the resulting MSE?c. Use a moving average with k = 4 to develop a forecast of demand for week 13.What is the resulting MSE?d. Using the above forecasting techniques, what is the forecasts for the next timeperiod? Week Sales 1 2750 2 3100 3 3250 4 2800 5 2900 6 3050 7 3300 8 3100 9 2950 10 3000 11 3200 12 3150
Below is a table containing data on product demand for the most recent five months along with the forecasts that had been made for those 5 previous months. Use the exponential smoothing method to forecast the number of sales to expect next month. Use the following value of alpha: 0.2. Month Demand Forecast 1 308 349.2 2 388 340.9 3 344 350.3 4 400 349.1 5 341 359.3
Complete the table shown to the right for the population growth model for a certain country. 2006 Population (millions) 46.2 Projected 2017 Population (millions) 38.8 Projected Growth Rate, k Be sure to show your work.
Please answer part C

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS