With the gasoline time series data from the given table, show the exponential smoothing forecasts using a = 0.1.GASOLINE SALES TIME SERIESWeekSales (1000s of gallons)123456789101112a. Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of a = 0.1 or a = 0.2 for the gasoline sales time series? Do not round your interimcomputations and round your final answers to three decimal places.a = 0.1a = 0.2MSES723BE13285219162020 a. Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of a = 0.1 or a = 0.2 for the gasoline sales time series? Do not round your interimcomputations and round your final answers to three decimal places.a = 0.1a = 0.2MSEPrefer:b. Are the results the same if you apply MAE as the measure of accuracy? Do not round your interim computations and round your final answers to three decimal places.a = 0.1a = 0.2MAEPrefer:c. What are the results if MAPE is used? Do not round your interim computations and round your final answers to two decimal places.a = 0.1a = 0.2MAPEPrefer:%%

Answered: Image /qna-images/answer/91ece15e-f965-495b-b8c2-35f0e9204436.jpg

Answered: a. Applying the MSE measure of forecast…

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter4: Eigenvalues And Eigenvectors

Section4.6: Applications And The Perron-frobenius Theorem

Problem 25EQ

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Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to 2012. a. Let x represent time in years starting with x=0 for the year 1997. Let y represent the number of seals in thousands. Use logistic regression to fit a model to these data. b. Use the model to predict the seal population for the year 2020. c. To the nearest whole number, what is the limiting value of this model?
Table 2 shows a recent graduate’s credit card balance each month after graduation. a. Use exponential regression to fit a model to these data. b. If spending continues at this rate, what will the graduate’s credit card debt be one year after graduating?
With the gasoline time series data from table 17.1, show the exponential smoothing forecasts using a = .1.a. applying the MSe measure of forecast accuracy, would you prefer a smoothing constant of a = .1 or a = .2 for the gasoline sales time series?b. are the results the same if you apply Mae as the measure of accuracy?c. What are the results if Mape is used?
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The operator of a pumping station has observed that demand for waterduring early afternoon hours has an approximately exponential distribution with mean 1000cfs (cubic feet per second).a) Find the probability that the demand will exceed 700 cfs during the early afternoonon a randomly selected day.b) What water-pumping capacity should the station maintain during early afternoons sothat the probability that demand will be below the capacity on a randomly selectedday is 0.995?c) Of the three randomly selected afternoons, what is the probability that on at least twoafternoons the demand will exceed 700 cfs? 2. Let Y1 and Y2 be random variables with joint density functionf(y1, y2) = (6/7(y^2+y1y2/2) 0 < y1 < 1, 0 < y2 < 2,0, elsewherea) Find marginal density functions. Are Y1 and Y2 independent?b) Find P(0 < Y1 < 0.3, −2 < Y2 < 1).c) Find P(0.6 < Y1 < 1|0 < Y2 < 1). 3.The joint density function of Y1 and Y2 is given byf(y1, y2) = (y1 + y2), 0 <…
Over the past 14 months,the monthly percentages of all shipments received on time are Monthy Proportion of On Time Shipments7281789083859082898185847888 What is MSE using exponential smoothing forecast for α=0.3? (keep 2 decimal points)
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The operator of a pumping station has observed that demand for water during early afternoon hours has an approximately exponential distribution with mean 100 cfs (cubic feet per second).a) Find the probability that the demand will exceed 200 cfs during the early afternoon on arandomly selected day.b) What water-pumping capacity should the station maintain during early afternoons sothat the probability that demand will exceed capacity on a randomly selected day isonly .01?
Suppose the following are the seasonal indices for the first three quarters of the year for a quarterly series: Quarter Seasonal Index Q1 72.8 Q2 83.2 Q3 108.8 Remember that the seasonal indices should average 100 so you should be able to infer the seasonal index for Q4. Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series on Time are given below: Coefficients Intercept 2,570 Time 53.9 What is the forecast for period 49, if period 49 is a Q3? (please round your answer to 1 decimal place)
The total number of thousands of tons of coal produced per year over a 10-year period for a certain region is provided in the accompanying dataset. Use double exponential smoothing to determine which pairs of values for α and β minimize MAD for this dataset. α=0.2, β=0.8; α=0.4, β=0.2; α=0.9, β=0.7 First find the MAD for each pair of values, α and β.
For the Philippines Basketball Association (PBA) 2013-2014 season, San Mig James Yap was the scoring leader with an average of 33 points per game. The following data shows the average of points per game for the scoring leader from the 2008-2009 season to the 2013-2014 season. Season Average 2008-2009 25 2009-2010 35 2010-2011 29 2011-2012 34 2012-2013 35 2013-2014 33 Use exponential smoothing to forecast this time series. Consider smoothing constant of ɑ = 0.20 and ɑ = 0.30. What value of the smoothing constant provides the best forecast/ What is the forecast of the leading scoring average for the 2014-2015 season? Graph the forecast at ɑ = 0.30.

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