12 Question If the percentage rate of growth of time series data is stable, then time series has: 1. Linear trend 2. Parabolic trend 3. Exponential trend
Q: Consider the following time series data: Quarter 1 2 3 4 Year1 6 O Cyclical pattern 2 3 5 O Trend…
A: The given time series data is:YearQuarterTime series dependent value116223345216233547317263648
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A: The given data is, month value 1 118 2 112 3 100 4 94 5 96 6 92 7 86
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Q: Cyclical and seasonal patterns about the trend are responsible for irregular movements in time…
A: Seasonal variations is occurs when same pattern is occurs for fixed season or month. Cyclic…
Q: The population (in million) of a small country during 2014-2022 are found as follows. Years 2014…
A: To plot the original series, we can use a line chart where the horizontal axis represents the years…
Q: 456 Value 19 12 15 11 18 13 Week 12 3 Construct a time series plot. What type of pattern exists in t…
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Q: Consider the following time series data. Month 1 2 3 Value 4 5 6 7 21 29 25 30 26 25 30 (a) Compute…
A: Consider the given data: MonthValue121229325430526625730
Q: 15-05 The Zapit Company has recorded the following numbers (in hundreds of thousands) of total sales…
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Q: Consider the following time series data. Month 1 2 3 4 5 Value 25 12 19 13 18 24 16 (a) Compute MSE…
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Q: Which of the following time-series forecasting methods would not be used to forecast a time series…
A: Dummy Variable Regression:Dummy variable regression, also known as categorical regression, is used…
Q: What can we say about summer production of pine lumber?
A: here given seasonal index for winter ,spring and fall
Q: What is the difference between the actual and forecasted values of a time series called?
A: We know that there always be difference between actual and forcasted value of time series.
Q: What is the relative frequency of the (-4,4) interval? (Note, both endpoints not included in…
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Q: Consider the following time series data. Month 1 2 3 21 10 17 9 Value 4 What is the forecast for…
A: Month : {1,2,3,4,5,6,7} Value : {21,10,17,9,16,20,12} Using most recent data : Forcast = 12…
Q: The following table shows a company's annual revenue (in billions of dollars) for 2009 to 2014.…
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Q: What are the objectives behind the analysis of seasonal variations in a time series ?
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Q: A statistical program is recommended. The quarterly sales data (number of copies sold) for a…
A: Solution: From the given information,
Q: Consider the following time series data. Month 1 Value 25 14 21 13 3 What is the forecast for month…
A: Given the time series data:- Month 1 2 3 4 5 6 7 Value 25 14 21 13 20 24 16
Q: Consider the following time series data. Quarter 1 2 3 4 Year 1 5 1 2 6 Year 2 7 2 4 8 Year 3 8 5 5…
A: Given information: The data represents the data of 3 years for 4 quarters.
Q: Q. 2. Calculate trend values from the following data : Years : 1986 1987 1988 1989 1990 Sales in…
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Q: Q. 4. Fit a straight line from the following data Years : Sales (1000) : 1989 1990 1991 1992 12 15…
A: Given that Years 1989 1990 1991 1992 Sales 12 15 17 22 Then we have to fit the straight…
Q: Using regression software, the trend component for this series is: Sales = 1322 +50.7x. The…
A: The trend-season model is:Sales = (1322+ 50.7x) * SFSeasonality factors for first, second, third and…
Q: The following time series shows the sales of a particular product over the past 6 months. Time…
A: Please note that I have answered as per our guidelines. Please repost the remaining questions…
Q: Month Sales 1 105 2 135 3 120 4 105 5 90 6 120 7 145 8 140 9 100 10 80 11 100 12 110…
A: To compute the exponential smoothing forecasts, we will use the formula: Ft+1 = α*At + (1-α) * Ft…
Q: Consider the following time series data. Month 1 2 3 4 Value 25 12 19 13 18 24 16 (a) Compute MSE…
A: calculate the forecast error compute the mean squared error
Q: Time series plots – Analyze each of these cycle time data separately: C3, C12, C13. That means three…
A: Given data, C3 C12 C13 19.98 29.95 20.48 20.01 30 20.2 20.02 30…
Q: Predicting next year's sales on the basis of past several years' data is Select one: O a. Regression…
A: It is an important part of statistics. It is widely used.
Q: The folloiwing table shows data for U.S. movie theater admissions (per week). Display the data as a…
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Q: The following time series shows the sales of a particular product over the past 6 months. Time…
A: Note : As per the guidelines we are supposed to solve only first three sub parts. Please repost the…
Q: Week Value 21 3 18 13 15 21 17 14 Using a = 0. 8, what is the exponential smoothing value for week…
A: The following is the data provided: Week Value 1 18 2 13 3 15 4 21 5 17 6 14 The…
Q: 1) Consider the following time series data. Week 1 3 Value 18 16 2 13 Year 1 2 3 4 4 11 a) Construct…
A: Note: "Since you have posted multiple questions with multiple sub parts, we will provide the…
Q: (a) Construct a time series plot. A time series plot contains a series of 7 points connected by line…
A: Solution: a) data appears to follows a horizontal trend b) Period value(A) forecast(F)…
Q: Use quantitativeforecast methods for the data shown below Period Observation 1 24 2 34 3 36…
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Q: Quarterly revenue ($millions) for Twitter for the first quarter of 2012 through the first quarter of…
A: Hello. Since your question has multiple sub-parts, we will solve first three sub-parts for you. If…
Q: Consider the following time series data. Month 1 2 3 4 5 6 7 Value 22 11 18 10 17 21 13 (a) Compute…
A: The following solution is given below:
Q: fllustration 12.12. Fit a trend line by the method of four yearly moving averages to the following…
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Q: Explain the different factors that account for fluctuations in time series data
A: Seasonal effect (Seasonal Variation or Seasonal Fluctuations)Time series data exhibits a seasonal…
Q: Consider the following time series data. month 1 2 3 4 5 6 7 |8 value 18 16 20 18 22 20 15 22 a.…
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Q: The number of tourists who visit a coastal town is shown in the graph below. Number of tourists 16…
A: The given time series data for the visited number of tourists is:
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- Hudson Marine provides boats sales, service, and maintenance. Boat trailers are one of its top sales items. Suppose the quarterly sales values for the seven years of historical data are as follows. Do not round intermediate calculations. a. Compute the centered moving average values (first find Four-Quarter Moving Average) for this time series (to 3 decimals). Centered Moving Average t 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 Sales 5 17 8 6 9 16 16 7 14 24 22 12 18 26 26 20 24 33 28 23 22 36 29 18 28 42 33 28 9.625 Year 1 2 3 4 5 6 7 Quarter 1 5 9 14 18 24 22 28 Quarter 2 17 16 24 26 33 36 42 Quarter 3 B 16 22 26 28 29 33 Quarter 4 6 7 12 20 23 18 28 Total Yearly Sales 36 48 72 90 108 105 131The values of Alabama building contracts (in millions of dollars) for a 12-month period follow. (a) Construct a time series plot. 400 350 300 250 200+ O 1 2 3 4 Month 5 6 What type of pattern exists in the data? 7 240 340 220 260 280 310 8 9 150- 100 The data appear to follow a seasonal pattern. The data appear to follow a cyclical pattern. The data appear to follow a trend pattern. O The data appear to follow a horizontal pattern. 10 50 0 11 12 01 2 400 350 300 250 200- 150 100 50 0 0 1 2 3 4 5 34 5 6 7 8 9 10 11 12 13 Month Time Series Value (in $ millions) 240 340 (b) Compare the three-month moving average forecast with the exponential smoothing forecast using a = 0.2. (Round your answers to two decimal places.) 220 260 280 310 210 320 250 6 320 7 Month 230 220 210 320 250 320 230 220 de 8 9 10 11 12 13 r 3-Month Moving Average Forecast (in $ millions) 400 350+ 300 250 200+ 150- 100+ 50+ 0 01010101000 400 T 350 300 0 1 2 3 4 250+ 200+ 150+ 100+ α = 0.2 Forecast (in $ millions) 50…Editor of Astrology Magazine wants to obtain sales forecast value for 2021. Use the given data below and help the editor. Year Quarter Sales 2019 1. 53 2. 51 3. 48 4. 55 2020 1. 53 2. 51 3. 54 4. 52 Use time series regression model and determine sales forecast value for the second quarter of 2021
- The quarterly sales data (number of copies sold) for Moraga Bookstore over the past three years follow. Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 1 16 25 22 15 2 19 31 25 18 3 21 33 27 17 Construct a time-series plot. What type of pattern(s) exists in the data? Compute the seasonal index for the four quarters. ]Compute the linear trend equation for the deseasonalized data.1.8 Compute and compare the total electricity consumption of Sub-Saharan Africa to the United States in 2012. The population of Sub-Saharan Africa was 926 million, and the United States was 314 million. The per person consumption in the United States in 2012 was 12.96 MWh per year. Consult Fig. 1.11 for the per person consumption in Sub-Saharan Africa.Consider the following time series.t 1 2 3 4 5 6 7 Yt 120 110 100 96 94 92 88a. What type of pattern exists in the data?HorizontalSeasonal with upward trendDownward trendUpward trendSeasonal with downward trendb. Regression analysis yields the following forecast equation: 119.71 - 4.929t; what is the forecast for period 8? Round to the nearest hundredth.c. Regression analysis yields the following forecast equation: 119.71 - 4.929t; what is the MSE for this forecast method? Round to the nearest hundredth.
- QUESTION 1 Your rate of return expectations for the stock of Gidimadjor Company during the next year are Possible Rate of Return (kk) Possible Rate of Return Probability (Gidimadjor Itd) -0.60 0.56 0.15 -0.30 0.36 0.10 -0.10 -0.08 0.05 0.20 0.02 0.40 0.40 0.33 0.20 0.80 0.51 0.10 a. Compute the expected return [E(Ri)] on this stock, the variance (02) of this return, and its d. Compute the coefficients of variation (CVs) for KK Itd and Gidimadjor and discuss which stock return series has the greater relative dispersion.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.QUESTION Samuel is a butchery vendor at a local open market. His daily income and the number of hours worked for the first ten days after the lockdown period is shown below: Day Income (N$) Number of hours 1 800 6 2 900 8 3 600 4 4 1200 5 5 1400 9 6 2000 9 7 1400 8 8 900 6 9 1300 7 10 1400 8 REQUIRED TO; determine whether it is the data time series or cross sectional? Motivate the reason. Calculate and interpret the following descriptive measures for the random variable Income: Mean Median Mode 33rd percentile Interquartile range 3. Calculate and interpret the covariance between the random variables Income and Number of hours worked. 4. Calculate and interpret the correlation coefficient between the random…
- Ten years of monthly data of a seasonally adjusted series are used to estimate a linear trend model as T = 24.10+ 0.32t. In addition, seasonal indices for January and February are calculated as 1.08 and 0.97, respectively. Make a forecast for the first two months of next year. (Do not round intermediate calculations. Round your answers to 2 decimal places.) ýt January FebruaryWhat is one property of a stationary time series? Question 23 options: The datapoints demonstrate a clear seasonal pattern The mean remains constant over time It is plotted as a straight horizontal line It demonstrates an upward trendUsing the time series data in the table, respond to the following items. Period Sales 1 $ 1,001 2 1,129 3 841 4 1,044 5 1,014 6 703 7 682 8 712 9 646 10 686 11 909 12 469 13 566 14 488 15 688 16 675 17 303 18 381 d-1. Compute all possible forecasts using a trend forecasting model using simple linear regression? (Round your answers to 2 decimal places.) Period Sales Predicted Sales Absolute Error 1 1,001 1,026.85 25.85 2 1,129 990.60 138.40 3 841 954.35 113.35 4 1,044 918.10 125.90 5 1,014…
