5. Apply the exponential smoothing technique with exponential smoothing constant a 0.3 to the following data for period 1 through 10 and compute forecasting errors also. Time Period 12 3 4 5 6 7 8 9 10 Gasoline Sales 39 37 61 58 18 56 82 27 41 69

5. Apply the exponential smoothing technique with exponential smoothing constant a 0.3 to the following data for period 1 through 10 and compute forecasting errors also. Time Period 12 3 4 5 6 7 8 9 10 Gasoline Sales 39 37 61 58 18 56 82 27 41 69

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 33EQ

See similar textbooks

Related questions

Q: Passenger miles flown on Northeast Airlines, a commuter firm serving the Boston hub, are shown for…

A: *Answer: FORECAST(T + 1) = FORECAST + (ALPHA * (ACTUAL DEMAND - FORECAST)) FORECAST 2 = 15 + (0.22…

Q: The program manager wants to forecast conference attendees. Based on the following historical data,…

A: The following information has been given: Year Total Enrollment 1 2950 2 2200 3 2000 4…

Q: With the gasoline time series data from the given table, show the exponential smoothing forecasts…

Q: 5.2 The following table gives the vapor pressure of water for various temperatures. Temperature (°K)…

A: Given Information: Consider the given data: Temperature Vapor Pressure 273 4.6 283 9.2 293…

Q: Determine the forecast for period 11 using the exponential smoothing technique with alpha=0.4.

Q: Consider the following time series. 3. 112 Month 1 5 96 2 4 94 7 86 92 Value 118 100 Construct a…

A: The given data is, month value 1 118 2 112 3 100 4 94 5 96 6 92 7 86

Q: consider the following time series data.Month 1 2 3 4 5 6 7Value 24 13 20 12 19 23 15construct a…

A: Hello. Since your question has multiple sub-parts, we will solve first three sub-parts for you. If…

Q: 1. Given the following data: Prepare a forecast using each of these approaches a. Naive b. A…

Q: Based on the following data, a forecaster used simple exponential smoothing and determined the…

A: Answer:- Option d. is the correct answer. Given, n=5

Q: a)Outline the diffences between simple, double and triple exponential smoothing? b) Consider the…

A: Exponential smoothing of time series data assigns exponentially decreasing weights for newest to…

Q: Ten weeks of data on the commodity Futures Index are 7.35, 7.4, 7.55, 7.56, 7.6, 7.52, 7.52, 7.7,…

A: Formula Used: Ft+1=Ft+α(At-Ft)Ft+1=αAt+(1-α)Ft We use second formula to calculate exponential…

Q: 16) The following table shows daily offshore crude oil production by a country's national oil…

Q: Consider the following gasoline sales time series. If needed, round your answers to two-decimal…

A: Since you have posted a question with multiple sub-parts, we will solve the first 3 sub-parts for…

Q: Apply the exponential smoothing technique with exponential smoothing constant a = 0.3 to the…

Q: Consider the following data:Monthly Profit of an Auto Repair Shop Month Jan-14 Feb-14 Mar-14…

A: The exponential smoothing forecast for the next time period (Oct-14) is 19,193.2 and it is…

Q: Demand Predicted 1 132 113 2 192…

A: CALCULTE MAD:

Q: (1) Four-month moving average; (2) Weighted three-month moving average using .50 for June, .30 for…

A: Time series is a stream of historical data. It is of 2 types- Stationary and Non-stationary. The…

Q: Q Monthly sales for a six month period are as follows: Month Sales Jan 18,000 Feb 22,000 16,000 Mar…

A: Given Information: Month Sales January 18000 February 22000 March 16000 April 18000 May…

Q: Q. 4 Fit a straight line trend by the method of least squares and obtain the trend values from the…

Q: Consider the following time series: Quarter Year 1 Year 2 Year 3 80 74 65 69 61 51 48 50 43 68 71 82…

A: a. The time-series plot is obtained using Excel as; 1. Enter the data into spreadsheet. 2. Go to…

Q: Based on the following fitted regression: In Consumption = 2.16 + 0.06Age %3D where Consumption…

A: We have to interpret the coefficient of slope in regression line.

Q: The accompnaying data were read from a graph that appeared in a recent study. The independent…

Q: 24. Suppose you estimate the sample regression function violent crime = 7.23-4.87 Suburb +6.11…

A: As per the honor code, We’ll answer the first question since the exact one wasn’t specified. Please…

Q: The table bellows shows the demand for a particular brand of microwave oven in a department store:…

A: Please check the solution below

Q: Week Sales 1 20 2 32 3 29 4 24 32 6 28 7 11 8 36 Using an exponential smoothing method with alpha =…

A: Given information- We have given the data of weekly sales. Exponential smoothing constant, α = 0.15…

Q: In 2005, Xerox Corporation's revenue from color products and services was $4.6 billion, or 30%of…

A: Solution: This exponential smoothing is performed on Microsoft Excel. a) Step 1 : Open the…

Q: Consider the following time series data. Week 1 2 3 4 5 6 Value 17 14 17 11 16 15 Develop a…

A: (c) Exponential smoothing forecast : Ft+1 = α Yt + (1-α) Ft Where , F t+1 is the forecast of the…

Q: Consider the following time series data. (07) Month 1 2 3 4 5 6 7 8 9 value 23 12 20 22 15 23 24 17…

A: a. Three week moving average is calculated on the basis of three week average of the data as…

Q: Consider the following gasoline time series data. Gasoline Sales Time Series Week…

A: As per honor code we will only solve first solution, please repost more questions for more answers.…

Q: Annual profit of a company (in million taka) are given below. Year 2010 2011 2012 2013 2014 2015…

A: Exponential smoothing forecast method is used to forecast the immediate future values. Exponential…

Q: Passenger miles fown on Northeast Airlines, a commuter ferm serving the Boston hub, are shown for…

A: Forecasting

Q: Let's say you are playing the stock market and below period 2020 data was provided. For "stock A"…

Q: Consider the following data. Time Demand 1 17 21 3 19 4 23 5 18 16 7 20 8 18 9 22 10 20 11 15 12 22…

A: Given the data as Time Demand 1 17 2 21 3 19 4 23 5 18 6 16 7 20 8 18 9 22 10…

Q: Using simple exponential smoothing and the following time series of data, respond to each of the…

A: Given information: The data presents the values of demand for the period 1 through 10.

Q: Week Amount EstimateWeek_Amount Estimate_ 10 10.000 6 14 11.90390 11 10.000 24 12.11351 21 10.100 18…

A: Introduction: The Exponential Smoothing Parameter in this case is, α = 0.1. The estimated or…

Q: a. Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of a 0.1 or…

Q: Using the following information, examine whether time reversal test and factor reversal test are…

A: First we have to calculate, all three price index numbers Than we have to test time reversal test…

Q: Monthly data for the demand of an item are shown in the table below. 1 2 3 45 6 Month Demand 93 99…

A: The given table is as follows:

Q: Consider the following time series. 2 3 4 6 121 111 105 99 95 93 89 (a) Construct a time series…

Q: The following data relates to number of Corona cases reported on monthly basis from October 2020 to…

A: Given Data : Month Cases October 26 November 20 December 11 January 9 February 14…

Q: Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 11 17 14…

A: 1. Let At be the value. The exponential smoothing and the 7th week forecast can be done using the…

Q: Is there a less complex way to solve this problem? S13. Consider the data showing the number of…

Q: 3. The following data show the number of issues from Initial Public Offerings (IPOS) from 1985…

A: (a): We have to exponentially smooth the given data using ω=0.1 The formula for forecasts from…

Q: 9. Microprocessing, a computer firm specializing in software engineering, has compiled the following…

A: Hello! As you have posted more than 3 sub parts, we are answering the first 3 sub-parts. In case…

Q: Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 15 20 12 18 22 15…

A: # we are entitled to solve three subparts at a time, please resubmit the other questions if you wish…

Q: 3. Compute three-period moving average and forecasting errors for the following time series: Period…

A: Given, Period (t): 1 2 3 4 5 6 7 8 9 Value (Xt): 15 27 20 14 25 11 20 25 18

Q: Consider the following time series. t 1 2 3 4 5 6 7 121 111 105 99 95 93 89 (a) Construct a time…

Q: Consider the following time series data. Week 1 2 3 4 5 6 Value 19 14 16 11 17 15 Develop…

A: We have 6 week demand The three-week moving average forecasts for this time series is- Moving…

Question

5. Apply the exponential smoothing technique with exponential smoothing constant a = 0.3 to
the following data for period 1 through 10 and compute forecasting errors also.
Time Period 1 2 3
4 5 6 7 8 9 10
Gasoline Sales 39 37 61
58 18 56 82 27 41 69

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Time Series Analyses, Forecasting Methods, and Indices$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.

Similar questions

Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?
Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t= Years since 2006 0 1 2 3 4 5 6 7 8 9 10 K= Price 56 51 50 55 58 52 45 43 44 48 51 Make a quartic model of these data. Round the regression parameters to two decimal places.
The values of Alabama building contracts (in $ millions) for a 12 -month period follow. 240 350 240 260 280 320 220 310 240 310 240 240 A. Compare the three-month moving average approach with the exponential smoothing forecast using a=0.2 (to 2 decimals). MSE (3-Month) _______ MSE ( a=0.2) __________ Using only the errors for months 4 to 12, the MSE for exponential smoothing is: MSE ( a=0.2) __________ C. Using the approach that provides more accurate forecasts based on MSE, what is the forecast for the next month (to the nearest whole number)? $ _______million
Given the following units sold: time Units sold 1 147 2 148 3 151 4 145 5 155 6 152 7 155 8 157 9 160 10 165 Determine the forecast for period 11 using the exponential smoothing technique with alpha=0.4.