Suppose the following are the seasonal indices for the first three quarters of the year for a quarterlyseries:QuarterSeasonal Index73.886.9108.6Remember that the seasonal indices should average 100 so you should be able to infer the seasonalindex for Q4.Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series onTime are given below:CoefficientsIntercept2,854Time76.8If the original value of the series in a Q4 was 2,050, then what is the seasonally adjusted value?(please round your answer to 1 decimal place)

Answered: Image /qna-images/answer/c76d4050-10ad-4cab-a7d3-eda5e6e8e880.jpg

Answered: Suppose the following are the seasonal…

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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> Question Completion Status: The following is a Time Series of Two Years (2019-2020) Seasons Year Sales 4-periods MA Q1 177 Q2 299.28 2019 Q3 304.45 307.81 315.79 318 2020 Q4 Calculate the Actual Sales Year 2020-Q₁ ? Q4 Q1 Q2 Q3 ?
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.
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 February
Suppose that $25,000 from a retirement account is invested in a large cap stock fund. After 25 yr, the value is $177,774.94. Part: 0/2 Part 1 of 2 (a) Use the model A=Pe to determine the average rate of return under continuous compounding. Round to the nearest tenth of a percent. Avoid rounding in intermediate steps. The average rate is approximately %. X
It is claimed that Table 6 represents the seasonal factors obtained from a quarterly time series. Table 6 Quarter 1 2 3 4 Explain why this claim cannot be correct. Seasonal Factor -203.4 -81.6 24.1 -260.9
QUESTION 3 Suppose the following are the seasonal indices for the first three quarters of the year for a quarterly series: Quarter Seasonal Index Q1 74.2 Q2 83.4 Q3 107.8 Remember that the seasonal indices should average 100 so you should be able to infer the seasonal index for Q4. Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series on Time are given below: Coefficients Intercept 2,785 Time 59.4 In general, what quarter is the busiest time of the year? (please just answer 1, 2, 3, or 4)
The amount of time an individual will live in their current residence before moving to a new one follows an Exponential distribution. Assume that the mean time between moves is five years. Estimate the decay rate: A = What proportion of individuals will move within the next year, rounded to four digits?
Suppose that a firm's sales were $3,750,000 five years ago and are $5,250,000 today. What was the geometric mean growth rate in sales over the past five years?
4// I swing simple exponential smoothing and the following time series data, respond to each the items. Period. Demand 1. 126 2. 112 3. 135 4. 145 5. 106 6. 101 7. 132 8. 141 9. 110 10. 131 D. Compute the MAD for each exponential smoothing forecast. ( Round your answer to 2 decimal places)
The trend equation for a time series is fitted as Y. Shift the trend origin from 1998 to 1993, given that the time unit is 1 year. = 60 + 1.5X
Six years of quarterly data of a seasonally adjusted series are used to estimate a linear trend model as T t=181.60 + 1.44t. In addition, quarterly seasonal indices are calculated as § 1= 0.85, § 2= 0.91, Ŝ 3 = 116, and § 4= 119. a-1. Interpret the first quarterly index. In other words, what is the value of the series in the first quarter as compared to the average? 15% above O 85% below O 15% below 85% above a-2. Interpret the fourth quarterly index. In other words, what is the value of the series in the fourth quarter as compared to the average? O 81% above O 19% above 19% below O 81% below b. Make a forecast for all four quarters of next year. (Do not round intermediate calculations. Round your answers to 2 decimal places.) Quarter 1 Quarter 2 Quarter 3 Quarter 4

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