Question:a.Sales of the Flying Flintmobile has been increasing over the past five years. The operationsmanager has estimated sales in 2017 to be 410 Flying Flintmobiles. Using exponential smoothingwith a weight of a = 0.30, develop forecasts for 2017 through 2022.Year SalesForecast201645020174952018518201956320215842022(i)Advise Flying Flintmobile of the benefits associated with this method of forecasting.(ii)Caution the manager on the limitations associated with your forecast.

Given information: Year Sales Forecast 2016 450 2017 495 2018 518 2019 563…

Answered: а. Sales of the Flying Flintmobile has…

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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Below is data collected over 6 specific years. The data collected is the Consumer Price Index (CPI) and the cost of a slice of tuna. We would like to build a model using the CPI to predict the cost of a slice of pizza in a given year. Year 1960 1973 1986 1995 2002 2003 CPI (x) 30.2 48.3 112.3 162.2 191.9 197.8 Cost of a slice of tuna(y) 0.15 0.35 1.00 1.25 1.75 2.00 Plot the data. Are we justified in creating a Linear Regression model to predict the price of a pizza slice using the CPI? Why or why not? Calculate the descriptive statistics. Calculate the sums of squares Calculate the slope, intercept, and correlation. What is this correlation value telling us? Assemble the prediction equation, and interpret the slope within the context of the problem. State the hypotheses for the hypothesis test for regression.
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The Agri-Food Company has been in business for five years. Brian, the firm's owner, wants to develop a forecast of olive oil sales for the coming year (i.e., 2025) based on the following historical data: Year 2020 2021 2022 2023 2024 Sales 10 20 40 55 75 1. Forecast sales for 2025 using the 3-year moving average method. 2. Forecast sales for 2025 using the simple exponential smoothing method with a smoothing constant of a=0.6. 3. Forecast sales for 2025 using the simple linear trend method.
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the table shows the percent of households with internet access for selected years from 2009 and projected through 2015. Year Percent of households 2009 67 2010 70 2011 72.5 2012 75 2013 76.5 2014 77.2 2015 78 Use the model to predict the percent of households with internet access in 2022.
Given the number of calls per week received by a dental clinic, what is the forecasted number of calls for week 12 considering that the forecast for week 1 was 47 and a smoothing constant a -0.2? CALLS 52 35 25 36 45 35 44 WEEK 1 2 3 4 5 6 7 869 10 34 calls 35 calls 33 calls 38 calls 30 35 25
Eloise needs to finish a 516-page report on international trade so she can present it at the big conference this weekend. She's been tracking her page count at the end of each business day to see if she's on track. Use Excel to fit a trendline to Eloise's data to create a model of her productivity. According to your model, will Eloise be able to finish her report by the end of the day next Friday? Assume she works only on weekdays. Day Pages Monday 425 Tuesday 431 Wednesday 449 Thursday 464 Friday 471 A: Use Excel to fit a trendline to Eloise's data. What are the slope and intercept for this line? The slope is The intercept is B: Use your model (trendline) to answer the question. Will Eloise finish her report by the end of next friday? Yes
II.
PArt C D
Using the photo attached, One Stop Car Repairs ollects data on the actual demand for its services and uses this data to make forecasts. The actual number of transmissions that were repaired for the last ten periods IS ATTACHED IN THE PHOTO answer the following. 1. Using the trend projection manual method, forecast demand for transmission repairs for periods 11 and 12
An entrepreneur who owns and operates two businesses (A and B) would like to analyze their profitability. They would like your help in the analysis. They give you the annual net profit (in thousands of $) for each business from 2008-2020. Table 1: Annual Net Profits for Businesses A and B Business Year Profit Business Year Profit 2008 -50 2008 -10 2009 57 2009 30 2010 71 2010 27 2011 64 2011 22 2012 60 2012 21 2013 50 2013 20 A 2014 41 2014 24 2015 59 2015 24 2016 71 2016 32 2017 71 2017 36 2018 74 2018 37 019 81 20 40 2020 97 2020 49 a. Suppose you want to graph the distribution of profits. Explain why using only one stem- plot might not be optimal for the analysis. b. Describe the correct stemplot to use. Generate this stemplot. Explain your steps. What can you say about the distribution from this stemplot? c. When are stemplots useful? And why is that? d. Suppose that instead of having 26 observations you have 200 observations. What graph should you generate? e. What other type of…

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