Hand written plz asap please... I'll rate sure plz fast plzzzzz Using Holt's method forecasting with alpha=0.4 and beta=0.5, company ABC wouldlike to forecast the sales in period 17.1215161718APeriod (t) Sales12,354148,322151617(a) 9158.64.b) 8979.36Bc) 8421.6d) 8700.48CDLevel (L) Trend (T)Based on the above Excel worksheet (rows 2-14 are hidden), what is the forecast inperiod 17?8142.72 278.88EForecast(F)8023.20

Holt's method of forecasting involves two smoothing equations. The smoothing equation of level for…

Answered: Using Holt's method forecasting with…

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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The table given below indicates New Holding Ltd.’s quarterly profits in 2019 and 2020.Time Period Profit (Thousands Of Rands)2019 Q1 2502019 Q2 2102019 Q3 1652019 Q4 1952020 Q1 2652020 Q2 2182020 Q3 1782020 Q4 204 Determine the trend regression function for this data set. Given that the typical seasonal index for Q3 is 87.3, use this informationand the trend regression function obtained to determine theseasonally adjusted trend estimate for profits in Q3 of 2022.
The accompanying dataset provides data on monthly unemployment rates for a certain region over four years. Compare 3- and 12-month moving average forecasts using the MAD criterion. Which of the two models yields better results? Explain. Find the MAD for the 3-month moving average forecast. MAD=? (Type an integer or decimal rounded to three decimal places as needed.) Year Month Rate(%) 2010 Jan 7.8 2010 Feb 8.2 2010 Mar 8.8 2010 Apr 9.1 2010 May 9.5 2010 Jun 9.3 2010 Jul 9.7 2010 Aug 9.6 2010 Sep 9.8 2010 Oct 10.1 2010 Nov 9.7 2010 Dec 9.8 2011 Jan 9.7 2011 Feb 9.9 2011 Mar 9.8 2011 Apr 9.9 2011 May 9.7 2011 Jun 9.4 2011 Jul 9.4 2011 Aug 9.3 2011 Sep 9.7 2011 Oct 9.3 2011 Nov 9.9 2011 Dec 9.5 2012 Jan 9.3 2012 Feb 8.8 2012 Mar 8.7 2012 Apr 9.1 2012 May 9.2 2012 Jun 9.2 2012 Jul 9.1 2012 Aug 9.1 2012 Sep 9.1 2012 Oct 8.9 2012 Nov 8.4 2012 Dec 8.3 2013 Jan 8.4 2013 Feb 8.1 2013 Mar 8.4 2013 Apr…
Use the standard error to construct the approximate prediction interval for Y using an alpha of 5%.
Find kurtosis by using ungroup data given in the picture using quartile deviation, make sure to arrange data before solving question.
Based on the given sales volume of AZ’s sanitizer product for 16 weeks, construct the trend projection using graphs, 3 weeks moving average, and exponential smoothing methods. Weeks Sanitizer sales 1 5600 2 5200 3 4570 4 4305 5 5465 6 8900 7 15680 8 24680 9 35040 10 36500 11 38575 12 35300 13 35200 14 35150 15 34950 16 34500
The MAD for the forecast developed using a weighted 2-year moving average with weights of 0.350.35 and 0.650.65 is what?
How many tails are involved in the determination of the critical z value in the marketing research problem?
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a sample of 4 students was taken and information about daily pocket money in tl (Y) and spending in tl (x) was collected
: The following table reports the results of a t-test using STATA.Group 1 refers to developed countries, Group 0 refers to the off-shores andEuropean & Asian developing countries. The statistics reported are based on theaverage liquid liabilities during the 2000s.i. Carefully set up the null and alternative hypothesis, the risk you encounterin your decision, the steps to make the decision, and provide a clearconclusion using the p-value.ii. Using the t-values draw a graph showing the corresponding values of the tand the acceptance and rejection areas.iii. A friend believes that your decision was a Type I error. Explains what itmeans.iv. Using information provided in the STATA output above, show how the tstatistic for the test has been calculated.v. Using the information provided in the table above, show how the 95%confidence intervals have been derived. Also calculate and comment on theconfidence interval at 99%, explaining what the confidence intervalscapture.
The following data consists of the times to relapse and the times to death following relapse of 10 bone marrow transplant patients. In the sample patients 4 and 6 were alive in relapse at the end of the study and patients 7–10 were alive, free of relapse at the end of the study. Suppose the time to relapse had an exponential distribution with hazard rate lambda and the time to death in relapse had a Weibull distribution with parameters theta and alpha (a) Construct the likelihood for the relapse rate lambda. (c) Suppose we were only allowed to observe a patients death time if the patient relapsed. Construct the likelihood for theta and alpha based on this truncated sample
A suburban hotel derives its revenue from its hotel and restaurant operations. Theowners are interested in the relationship between the number of rooms occupied on anightly basis and the revenue per day in the restaurant. Below is a sample of 25 days(Monday through Thursday) from last year showing the restaurant income and numberof rooms occupied.

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