Question

Six years of quarterly data of a seasonally adjusted series are used to estimate a linear...

Six years of quarterly data of a seasonally adjusted series are used to estimate a linear trend model as Tˆt = 164.90 + 1.09t. In addition, quarterly seasonal indices are calculated as Sˆ1 = 0.88, Sˆ2 = 0.94, Sˆ3 = 1.16, and Sˆ4 = 1.12. 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? 12% below 12% above 88% above 88% below 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? 88% below 12% above 12% below 88% above b. Make a forecast for all four quarters of next year. (Round your answers to 2 decimal places.) yˆt Quarter 1 Quarter 2 Quarter 3 Quarter 4

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Ten years of monthly data of a seasonally adjusted series are used to estimate a linear...
Ten years of monthly data of a seasonally adjusted series are used to estimate a linear trend model as TˆT^ t = 27.10 + 0.31t. In addition, seasonal indices for January and February are calculated as 1.09 and 0.88, respectively. Make a forecast for the first two months of next year. (Do not round intermediate calculations. Round your answers to 2 decimal places.) yˆty^t January February
Examine the following quarterly data. After calculating the seasonal index for each quarter. Deseasonalize the time...
Examine the following quarterly data. After calculating the seasonal index for each quarter. Deseasonalize the time series. Produce the trend line using the deseasonalized data. t yt Quarter 1 1 5 Quarter 2 2 3 Quarter 3 3 11 Quarter 4 4 26 Quarter 1 5 21 Quarter 2 6 19 Quarter 3 7 31 Quarter 4 8 51 Quarter 1 9 42 Quarter 2 10 36 Quarter 3 11 51 Quarter 4 12 82 A) Produce seasonally adjusted forecasts...
I use 40 quarterly observations on a time series beginning with the first quarter of 2007...
I use 40 quarterly observations on a time series beginning with the first quarter of 2007 to estimate the following model: Y = 5 + 0.25 Trend + 1 Q2 – 2 Q3 + 0.5 Q4 Where Trend is a time index equal to 1 for the first observation and increases by 1 each quarter; Q2 is a dummy variable equal to 1 for all observations on the second quarter of a year and equal to 0 for all other...
Examine the following Quarterly Data: t yt Quarter 1 1 5 Quarter 2 2 3 Quarter...
Examine the following Quarterly Data: t yt Quarter 1 1 5 Quarter 2 2 3 Quarter 3 3 11 Quarter 4 4 26 Quarter 1 5 21 Quarter 2 6 19 Quarter 3 7 31 Quarter 4 8 51 Quarter 1 9 42 Quarter 2 10 36 Quarter 3 11 51 Quarter 4 12 82 A) Calculate the seasonal indexes for each quarter. B) Deseasonalize the time series. Produce the trend line using the deseasonalized data. Produce seasonally adjusted forecasts...
3.The quarterly earnings (in $ millions) of a steel company have been recorded as follows: Period...
3.The quarterly earnings (in $ millions) of a steel company have been recorded as follows: Period Actual Earnings Average Seasonal ratio Seasonal index 2016 Quarter 1 1 334 Quarter 2 2 492 Quarter 3 3 368 Quarter 4 4 278 2017 Quarter 1 5 324 Quarter 2 6 550 Quarter 3 7 394 Quarter 4 8 288 2018 Quarter 1 9 314 Quarter 2 10 532 Quarter 3 11 394 Quarter 4 12 312 2019 Quarter 1 1 344 Quarter...
Exhibit 17-1 Below you are given the first five values of a quarterly time series. The...
Exhibit 17-1 Below you are given the first five values of a quarterly time series. The multiplicative model is appropriate and a four-quarter moving average will be used. Year Quarter Time Series Value Yt 1 1 36 2 24 3 16 2 4 20 1 44 Refer to Exhibit 17-1. An estimate of the trend component times the cyclical component (T2Ct) for Quarter 3 of Year 1, when a four-quarter moving average is used, is Group of answer choices 24...
2. A consulting firm estimates the quarterly sales (in millions of dollars) of a Regional Airlines...
2. A consulting firm estimates the quarterly sales (in millions of dollars) of a Regional Airlines called “U Fly”, by the following significant model: E(Sales) = 300.5 + 2.37(T) - 4.6Q1 - 6.8Q3 + 8.65Q4 Where E(Sales) is the average sales for each quarter (in millions of dollars), T is a time index defined as 1, 2, 3, …………,20, and 20 represents the first quarter of 2020, Q1 = 1 when in the first quarter, 0 otherwise, Q3 =1 when...
A consulting firm estimates the quarterly sales (in millions of dollars) of a Regional Airlines called...
A consulting firm estimates the quarterly sales (in millions of dollars) of a Regional Airlines called “U Fly”, by the following significant model: E(Sales) = 300.5 + 2.37(T) - 4.6Q1 - 6.8Q3 + 8.65Q4 Where E(Sales) is the average sales for each quarter (in millions of dollars), T is a time index defined as 1, 2, 3, …………,20, and 20 represents the first quarter of 2020, Q1 = 1 when in the first quarter, 0 otherwise, Q3 =1 when in...
Hudson Marine has been an authorized dealer for C&D marine radios for the past seven years....
Hudson Marine has been an authorized dealer for C&D marine radios for the past seven years. Suppose the quarterly sales values for the seven years of historical data are as follows. Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 Total Yearly Sales 1 7 13 9 4 33 2 11 20 16 6 53 3 12 25 25 11 73 4 18 28 26 16 88 5 23 35 27 21 106 6 24 37 31 18 110 7...
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 2 5...
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 2 5 7 2 0 2 6 3 5 8 10 4 5 8 10 (a) Choose the correct time series plot. (i) (ii) (iii) (iv) Plot (iii)- Select your answer -Plot (i)Plot (ii)Plot (iii)Plot (iv)Item 1 What type of pattern exists in the data? Positive trend pattern, no seasonality- Select your answer -Positive trend pattern, no seasonalityHorizontal pattern, no seasonalityNegative trend pattern, no seasonalityPositive trend...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT