Consider the following gasoline sales time series. If needed, round your answers to two-decimal digits.WeekSales (1,000s of gallons)11622172315172119920101811151223(a) Show the exponential smoothing forecasts using a = 0.1, and a = 0.2.ExponentialSmoothingWeeka = 0.1a = 0.213.NM & 6823457 (b) Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of a = 0.1 ora = 0.2 for the gasoline sales time series?AnSelect your answer - smoothing constant provides the more accurate forecast, with anoverall MSE of(c) Are the results the same if you apply MAE as the measure of accuracy?An - Select your answer-smoothing constant provides the more accurate forecast, with anoverall MAE of(d) What are the results if MAPE is used?An Select your answer-smoothing constant provides the more accurate forecast, with anoverall MAPE of

Answered: Image /qna-images/answer/a68fe3c0-209a-49de-ab35-5e0e274c0e44.jpg

Answered: (b) Applying the MSE measure of…

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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A study is conducted involving 17 infants to investigate the association between gestational age at birth, measured in weeks, and birth weight, measured in grams. By the used of the table what is the coefficient relationship between the gestational age at birth and birth weight of the infants? Please make a Decision and Conclusion, refer to the image below for interpretation.
I recently asked this question and was wondering if you could show me how to do it, not just putting it in a caculator or excel but written out equations and seeing my information plugged in so I can understand. Thank you. Calculate the simple linear regression to determine if the amount of time spent on homework can be predicted by amount of sleep. Graph the relationship and determine, numerically, if there are any outliers. Interpret all results in a paragraph citing the appropriate statisitcs.
Shelia’s doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if her glucose level is above 136 milligrams per deciliter (mg/dl) one hour after ingesting a sugary drink. Shelia’s measured glucose level one hour after the sugary drink varies according to the Normal distribution with μ = 125 mg/dl and σ = 11 mg/dl. a)What are the mean and standard deviation of the distribution of sample proportion if measurements are made instead on 40 separate days? b)If measurements are made on 40 separate days and the mean result is compared with the criterion 140 mg/dl, what is the probability that Shelia is diagnosed as having gestational diabetes? c)Let’s consider what could happen if we took 40 separate measurements from Shelia. What is the blood glucose level L such that the probability…
Discuss how the autocorrelation would affect the regression estimates in the regression analysis.
Question Annual sales (in million taka) by a chain shop are provided below.Year201020112012201320142015201620172018Sales6812181513161210(a) Estimate first order autocorrelation function ?(1) and use this to comment on the properties of the time series.(b) Obtain forecast for the year 2019 from the trend model ?̂?=5.48+4.52?−0.50?2.
A researcher is studying the intensity of hurricanes that entered the Gulf of Mexico between 1975-2015 and the average water temperature of the Gulf of Mexico at the hurricane's peak strength. What is the independent and dependent variable in this study?
Seedlings of understory trees in mature tropical rainforests must survive and grow using intermittent flecks of sunlight. How does the length of exposure to these flecks of sunlight (fleck duration) affect growth? Researchers experimentally irradiated seedlings of the Southeast Asian rainforest tree with flecks of light of varying duration while maintaining the same total irradiance to all the seedlings. Below is the data. Fit a linear model to the data. Tree Mean Fleck (min) Relative growth rate (mm/mm/week 1 3.4 0.013 2 3.2 0.008 3 3 0.007 4 2.7 0.005 5 2.8 0.003 6 3.2 0.003 7 2.2 0.005 8 2.2 0.003 9 2.4 0 10 4.4 0.009 11 5.1 0.01 12 6.3 0.009 13 7.3 0.009 14 6 0.016 15 5.9 0.025 16 7.1 0.021 17 8.8 0.024 18 7.4 0.019 19 7.5 0.016 20 7.5 0.014 21 7.9 0.014 a)What is the rate of change in relative growth…
This activity demonstrates how to create graphics to enhance the presentation of quantitative data Scenario The sales manager for a small manufacturer is interested in marketing the company's rain coat line in a new area of the country. As a first step to establishing a marketing plan she has asked you to produce some graphs showing the market share of the products sold over the past several years in the region. Analysis After some research, you acquire the approximate sales for each of the competing products presently in the region under consideration (See the data given below). The question now is to show how best to organize the data to take advantage of a graphical analysis. Pie charts give a quick overview of the market share "slices” each competitor presently enjoys. So you decide to use a pie chart to graph the most recent year's sales data for the region. This will give a good indication of just who the market leaders are and how crowded it is at the top. Next, you decide to…
Describe three approaches to modeling seasonality in a regression forecast.
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.
Plot the sales revenue figures and appropriate trend line on a graph and identify from this the choice of model for working out the seasonal component. Using the appropriate seasonal model, complete the calculations that are required to produce the required forecasts for quarters 1, 2, 3 and 4 of 2021. On the basis of your analysis explain the recommendation that you would make to ALAW Ltd regarding its future plans.

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