Problem 3-10 (Algo)After plotting demand for four perlods, an emergency room manager has concluded that a trend-adjusted exponentlal smoothingmodel Is approprlate to predict future demand. The Initlal estimate of trend Is based on the net change of 19 for the three pertods from1 to 4, for an average of +6.33 unlts.Actual259274284289Period ActualPeriod2102297.2248.6.422924910Click here for the Excel Data FileUse a=0.40 and B-0.05, and TAF of 245 for perlod 5. Obtaln forecasts for perlods 6 through 10. (Round your Intermedilatecalculetions end final answers to 2 decimal places.)t PerjodTAFT7.8.10

From the given information, Period Actual 1 210 2 229 3 224 4 229 5 249 6 259 7…

Answered: Problem 3-10 (Algo) After plotting…

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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What test involves an analysis of rate of change in Y per single point increase in X and what is the “predictor”?
I have this much done, but need help with E, i,ii,iii Which asks: Choose a year other than the one from part 2c. A birth year or the first year might be a good choice(I picked 1990) .i. Use the trend line equation to estimate the y-value for the year of your choice. Find the relative change in the y-value for your chosen year compared to the last year’s value you found in part 2c iii. Interpret the meaning of your relative change value. F.Should we use the trend line model to estimate the y-value for 2020? Why or why not? Note: Hey there! Thank you for the question. As you have posted multiple sub-parts, we have helped you solve the first three parts, according to our policy. Please re-post the other parts with complete background information. Step 2 Calculation: As it is required to build a scatterplot with a trendline, we need to use Excel, where this feature is available. The independent or predictor variable is year, which we have denoted as x, and the dependent…
1. It has been noted that there is a positive correlation between the U.S. economy and the height of women's hemlines (distance from the floor of the bottom of a skirt or dress) with shorter skirts corresponding to economic growth and lower hemlines to periods of economic recession. Comment on the conclusion that economic factors cause hemlines to rise and fall. # of Absences (in weeks) Exam Grade 1 2 345 23 014 90 85 95 92 80
6. The Motion Picture Association of America reports a drop-off of video disc sales. The data in the table below shows consumer spending on video discs (DVD, Blue-ray, and UltraHD Blu-ray) in the United States in the years 2015-2018. Year Consumer Spending on video discs (in billions of dollars) 2015 9.1 2016 8.0 2017 6.8 2018 5.8 (a) What was the average rate of change in consumer spending from 2015 to 2018? (Be sure to include units.) (b) Use the average rate of change calculated above to predict consumer spending on video discs in 2020?
Interpret the OLS coefficients (intercept and slope coefficients). When doing it, make sure to discuss the sign of the coefficient, its magnitude and ceteris-paribus interpretations, as well as statistical significance of the coefficients. First, discuss the approximate marginal effects. Next, calculate and discuss the exact marginal effects.
(b) Table 1 shows consumables usage data from a leading manufacturer. Forecast the demand for August, September and October using: i) a three-month moving average ii) a four-month weighted moving average using 50 percent of the actual usage for the most recent month, 20 percent of two months ago, 15 percent of three months ago and 15 percent of four months ago. Using an example, explain what are the benefits of using the weighted moving average method of forecasting instead? Month February 2023 March 2023 April 2023 May 2023 June 2023 July 2023 Consumables Used 884 892 972 990 956 880
Here's a table with average monthly price of a stock from Jan 2021-July 2021. Month Price Jan 29000 Feb 27000 Mar 31000 Apr 30000 May 32000 June 28000 July 29000 Using a 3-period weighted moving average with weights (wt, wt-1, W-2) = (0.6, 0.2, 0.2), the predicted price August is Using an exponential smoothing model with = 0.4, and with the initial predicted price for Jan the same as the observed price for January, the predicted price for August is % Now, let's suppose that we finally observe that the price for August is 30000. The absolute percent error (APE) of your prediction for August is using the weighted moving average method and % using the exponential smoothing model. (Note: Round your answer to the nearest 2 decimal places. For your APE answer for example let's say you get 0.06786 from Excel, then you should type-in 6.79 as your answer here since it is represented as percentage. Do not enter any symbols other than integers and decimal.)
Discuss on nominal data
5
Q 3: Al Matra LLC has recently hired Mr. Musab, a professional market researcher. Mr. Musab is interested to find out relationship between cost incurred and revenue earned by the company. He collected the data of last 7 years from the accounts department, but he is confused about the method which can find out the relationship. Revenue Cost Incurred Earned Year (OMR in (OMR in Millions) Millions) 2013 20 2014 10 22 2015 9 22 2016 18 2017 11 20 2018 12 24 2019 10 25 a) Find out the correlation value and give interpretation of the result b) If correlation value is 1.25, discuss the result analytically.
lakhs) of a certain commodity for the year On the basis of quarterly sales (in 2008-12, the following calculations were made : Trend: Y = 20 + 0.5 t with origin at 1st quarter of 2008. where 1 = time unit = one quarter and y = quarterly sales ( Seasonal variations: Quarter I II III IV Seasonal Index 80 90 120 110 Estimate the quarterly sale for the year 1979 using multiplicative model.
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