2//Using simple exponential smoothing and the following time series data, respond to each of the items.Period. Demand1. 1042. 1323. 1434. 1375. 1466. 150 7. 1018. 1269. 11610. 115 b. Compute all possible forecasts using a smoothing coefficient (a) of O.3. (Negative amounts should be indicated by a minus sign.Round your answers to 1 decimal place.)ExponentialErrorAbsolute ErrorPeriodDemandSmooth1104213214341371466.1507101812691161011511 c. Compute the MAD. (Round your answer to 2 decimal places.)MADd. What is the forecast demand for period 11? (Round your answer to 1 decimal place.)Period 11 forecaste. What is the error associated with period 11's forecast? (Round your answer to 2 decimal places.)Error associated with the period 11's forecast

Answered: Using simple exponential smoothing and…

Math

Statistics

Using simple exponential smoothing and the following time series data, respond to each of the items. Period. Demand

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 9PPS

See similar textbooks

Related questions

Q: (c) Use a = 0.2 to compute the exponential smoothing values for the time series. Time Serles Value…

A: Please find your answer in below images:

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

A: Given data 1 106 2 134 3 145 4 139 5 148 6 152 7 103 8 128 9 118 10 117

Q: Find the ratio of the output values that correspond to increases of 1 in the input value. (Note:…

A: According to the graph: Input and output values are: Input value Output Value -1…

Q: (b) Use a = 0.4 to compute the exponential smoothing forecasts for the time series. (Round your…

A: We know that ; Formula for Exponential Smoothing Forecast = Ft+1=αYt + (1-α)Ft Given α=0.4 1] For…

Q: The seasonal index for 3rd quarter production is 0.88. This indicates that production in the 3rd…

A: Given :- The seasonal index for 3rd quarter production is 0.88. This indicates that production in…

Q: The forecast for week 13 is

A: Given, Period 1 2 3 4 5 6 7 8 9 10 11 12 Sales 617 617 648…

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

A: Given information: The data presents the values of demand for the period 1 through 14.

Q: The average lifetime of a certain new cell phone is 4 years. The manufacturer will replace any cell…

A: Given data The average lifetime of a certain new cell phone is 4 years. The manufacturer will…

Q: From the data given below splice the two index series in a backward manner and compute the index…

Q: Planes arrive at the airport, on average, every 4 minutes during the morning rush. This interarrival…

A: Given, Arrival rateλ=14planes per minute. Service rateμ=130 planes per minute. Then, λμ=14130=7.5…

Q: Suppose that wait times at a dentist's office follow an Exponential distribution, with an expected…

A: Given: X~Exp118EX=18

Q: At a police station in a large city, calls come in at an average rate of four calls per minute.…

Q: Q 2. An automobile company is ready to introduce a new line of hybrid cars through a national sales…

Q: Given is a historical time series for job services demand in the prior 6 months. Month Demand 1…

Q: Find the associated half-life time or doubling time. (Round your answer to three significant…

A: The equation, Q = 900e−0.025t is in the form of Q =Qoe−kt , where, Q0 is the initial amount and is…

Q: The future value of an investment after t years is given by F(t) 140(1.126) thousand dollars. (a)…

Q: Review the table showing the percentage of contaminants remaining in a water sample after passing…

A: Exponential regression: Suppose (x1, y1), (x2, y2)---(xn, yn) are n pairs of observations on…

Q: 29- The time that a family lives in a home between purchase and resale is exponentially distributed…

Q: 4. The initial value of a building is $986,260. After one year, the value of the building is…

A: exponential function can be represent as below : f(x) = a(b)x

Q: 1) Explain the problem of unit root in standard regression and in time-series models.

A: The objective is to explain the problem of unit root in standard regression and time series models.…

Q: (b) Use a = 0.2 to compute the exponential smoothing forecasts for the time series. (Round your…

A: Introduction: Denote Yt as the actual value for time period t, and Ft be its forecasted value using…

Q: Amanda Fall is starting up a new house painting business, Fall Colors. She has been advertising in…

A: Introduction:The arrival of the customers (jobs) has a Poisson distribution, with a rate of, λ =…

Q: Find the associated half-life time or doubling time. (Round your answer to three significant…

A: The given equation is Q(t)=800e-0.025t

Q: Consider the following time series data. Given that the analyst has found a liner trend in the data,…

A: Given, Consider the following time-series data. Given that the analyst has found in the data, he…

Q: 4. The lifetime (X) of an alkaline battery is exponentially distributed with A = 0.05 per hour. A…

Q: (c) Why is an assumption that the error term is uncorrelated with fu- ture values of explanatory…

A: c)Why is an assumption that error term is uncorrelated with future values of explanatory variables a…

Q: uppose COVID-19, a pandemic that spread worldwide has infected 40,000 people on August 2020. Each…

A: Given: The number of infected people on August 2020 = 40,000 The people getting infected every day…

Q: Use a smoothing constant of a = 0.4 to compute the exponential smoothing forecasts. (Round your…

A: Given information: The data presents the values of time series value for the months 1 through 12.

Q: Show the exponential smoothing forecasts using ? = 0.1. (Round your answers to three decimal…

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

Q: The number of fishing rods selling each day isgiven below. Perform analyses of the time series to…

A: Here, is a time series data, and first we conduct a 3 period moving average on this data. Day…

Q: . At the Franklin Post Office, patrons wait in a singleline for the first open window. On average,…

A: Given: The average rate of the customers entering the system=100/ hr The service rate=45/hr…

Q: The figures below show the weekly demand at an electrical repair workshop for a certain type of…

Q: 3. Enrollment in a particular class for the last four semesters has been 120, 126, 110, and 130…

A: Introduction: Denote At as the actual or observed value for the time period t, and Ft as the…

Q: - The table shows the mid-year populations (in millions) of 5 countries in. millions) for the year…

A: The table shows the populations (in millions) of five countries in 2010 and projected populations…

Q: The population of a town with a 2000 population of 62,253 is decreasing at a rate of 2.7% per year.…

A: please see the next step for solution

Q: Based on the time series plot in the attachment, answer the following questions. In these questions,…

A: Answer for question (a) is seasonal variation Because seasonal variations are in a regular and…

Q: 1. In parts of the United States, wolves are being reintroduced to wilderness areas where they had…

A: Given Data: Starting number of wolves=20 yearly growth factor=1.2

Q: A convenience store recently started to carry a new brand of soft drink. Management is interested in…

A: Given Data : Period / week Sales 1 572 2 637 3 648 4 740 5 670 6 633 7 752 8 690…

Q: After plotting demand for four periods, an emergency room manager has concluded that a…

A: Please find the explanation below. Thank you

Q: A population of animals is growing exponentially, and an ecologist has made the following table of…

Q: 0s15 20, where i is the number of years after the base year of 1905. 20. During the time period…

Q: 5. Simple Exponential Smoothing with the following parameters: Ft+1=32 and the a = .15 6. Time…

A: Time series are used to forecast the variable based on the time. There are four components in the…

Q: 13-10. A survey conducted over the last 25 years indicated that in 10 years the winter was mild, in…

Q: During the start of the COVID-19 pandemic it is assumed that the rate of spread of the corona virus…

A: Logistic growth model is given by: y(t)=c1+ae-bt...(1) where, y(t) is the number of cases at time t.…

Q: The replacement of a laser cutting machine is being considered. The best available machine on market…

A: Given, Initial cost of current machine = 36000 Interest rate = 4% Operating cost = 20000 Salvage…

Q: Find the associated half-life time or doubling time. (Round your answer to three significant…

Question

2// Using simple exponential smoothing and the following time series data, respond to each of the items. Period. Demand 1. 104 2. 132 3. 143 4. 137 5. 146 6. 150 7. 101 8. 126 9. 116 10. 115

b. Compute all possible forecasts using a smoothing coefficient (a) of O.3. (Negative amounts should be indicated by a minus sign.
Round your answers to 1 decimal place.)
Exponential
Error
Absolute Error
Period
Demand
Smooth
1
104
2
132
143
4
137
146
6.
150
7
101
8
126
9
116
10
115
11

c. Compute the MAD. (Round your answer to 2 decimal places.)
MAD
d. What is the forecast demand for period 11? (Round your answer to 1 decimal place.)
Period 11 forecast
e. What is the error associated with period 11's forecast? (Round your answer to 2 decimal places.)
Error associated with the period 11's forecast

Expert Solution

This question has been solved!

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

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1

Step 2

Step 3

Step 4

Step 5

Trending now

This is a popular solution!

Step by step

Solved in 5 steps with 7 images

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

a. In the Petroco Service Station problem, compute an exponentially smoothed forecast with an α value of .30. According to the result from Excel and/or POM-QM, the forecast for the month of August b.In the Petroco Service Station problem, for the exponentially smoothed forecast with an α value of .30, compute the mean absolute deviation (MAD) via Excel and/or POM-QM c. In the Petroco Service Station problem, compute an exponentially smoothed forecast with an α value of .50. According to the result from Excel and/or POM-QM, the forecast for the month of January would be d.In the Petroco Service Station problem, compute an exponentially smoothed forecast with an α value of .50. According to the result from Excel and/or POM-QM, the forecast for the month of August
A researcher hypothesizes that in a certain country the net annual growth of private sector purchases of government bonds, B, is positively related to the nominal rate of interest on the bonds, NI, and negatively related to the rate of inflation Π: Bt = a0 + a1NIt + a2Π t + ut Note that it may be hypothesized that B depends on the real rate of interest on bonds, R, where R = NI – Π. Using a sample of 56 annual observations, s/he estimates the following equations: (1) Bt = 0.43 + 0.90NIt - 0.97Πt R21 = 0.962, SSR1 = 2.20, QRESET(F1,52) = 16.6 (3.58) (8.80) (-1.05) (2) Bt = 0.44 + 0.94Rt R22 = 0.960, SSR2 = 2.22, QRESET(F1,53) = 0.9 (9.70) (16.7) (3) Bt = 0.44 + 1.14NIt SSR3 = 9.20, QRESET(F1,53) = 59.9 (8.84) (36.1) (4) NIt = 0.08 + 0.94Πt R24 = 0.997, SSR4 = 0.18, QRESET(F1,53) = 1.4…
For the Hawkins Company, the monthly percentages of all shipments received on time over the past 12 months are 80, 82, 84, 83, 83, 84, 85, 84, 82, 83, 84, and 83. a. Compute for a 3 month moving average forecast. b. Compute for the exponential smoothing forecast for a=0.2. c. Which provides the better forecast using MSE as the measure of model accuracy? d. What is the forecast for next month?
Find the forecast for the month of May using the exponential smoothing methodDemand dataJan 32.1 Feb 36.2 Mar 28.0 Apr 27.5And the January Forecast was: 27Smoothing constant = 0.15b) Find the mean absolute deviation (MAD) if the actual demand for May is 30.0
Members of the millennial generation are continuing to be dependent on their parents (either living with or otherwise receiving support from parents) into early adulthood. A family research organization has claimed that, in past generations, no more than 30% of individuals aged 18 to 32 continued to be dependent on their parents. Suppose that a sample of 400 individuals aged 18 to 32 showed that 136 of them continue to be dependent on their parents. In Excel b. What is your point estimate of the proportion of millennials that are continuing to be dependent on their parents? c. What is the p-value provided by the sample data?
The following statement appeared on a box of Tide laundry detergent: “Individual packages of Tide may weigh slightly more or less than the marked weight due to normal variations incurred with high speed packaging machines, but each day’s production of Tide will average slightly above the marked weight.” (d) Propose procedures to collect data to test the statement.
Pink Table, a snack shop has recorded sales for its best-selling cold drink, shown as follows: Day 1 2 3 4 5 6 7 8 9 10 Jasmine Slush (12 oz) 125 136 127 123 142 148 139 140 154 158 a. Predict the sales for Jasmine Slush using the following forecasting methods: naïve (use simple naive method, forecast this period=actual value of last period); 3-day moving average method; weighted average method using the following weights: 45%,30%,25%; exponential smoothing with smoothing constant alpha equal to 10%, assume forecast for day 1 for each of the 3 products is the sales for day1; linear trend line. b. Using the results in a), compute the error ( MSE, MAD, and MAPE) for each of the methods used. c. Which forecasting technique will you recommend fo predict the sales of Jasmine Slush Explain and support your answer quantitatively.
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…
Is there a relationship between smoking and alcohol consumption? No Alcohol Low Alcohol Medium Alcohol High Alcohol Marginal Total Never Smokes 450 205 190 75 Smoker 425 255 170 30 Marginal Total Round each of the following to two decimal places: What is the expected frequency of people who never smoke and do not consume alcohol? What is the expected frequency of smokers who do not consume alcohol? What is the expected frequency of people who never smoke and consume high amounts of alcohol? What is the expected frequency of smokers who consume high amounts of alcohol?