2 Part C. Questions 11-13 [ Video-8, others if needed or desired] Two time series are...
Fantastic news! We've Found the answer you've been seeking!
Question:
Transcribed Image Text:
2 Part C. Questions 11-13 [ Video-8, others if needed or desired] Two time series are being considered and both contain random, seasonal, and linear trend components. However, the characteristic of the linear trend is sought. Quarter 1 Time Series 1 75 135 210 180 295 531 826 708 515 927 1442 1236 735 1323 2058 1764 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Question 11. Both time series have a linear trend. Which statement is true? (A) The trend is a step function for time series 1 and a step function for time series 2. (B) The trend is continuous for time series 1 and a step function for time series 2. C)The trend is a step function for time series 1 and continuous for time series 2. (D) The trend is continuous for time series 1 and continuous for time series 2. (E) None of the above Question 12. Both time series have the same seasonal indexes. What is the seasonal forecast for quarter 17? for time series 1 and 955 390 for time series 1 and (A) 940 (B) 405 (C) 390 (D) (E) None of the above for time series 1 and 405 955 for time series 1 and 940 for time series 2 for time series 2 for time series 2 for time series 2 (A) 1910 (B) 1990 for time series 1 and for time series 1 and 1990 1910 1880 (C) 1910 for time series 1 and (D) 1880 for time series 1 and 1910 (E) None of the above Time Series-2 60 207 476 540 280 603 1092 1068 500 999 1708 1596 720 1395 2324 2124 Question 13. Both time series have the same seasonally adjusted annual slope for the quarterly time series. What is the seasonally adjusted forecast for quarter 187 1910 for time series 2 for time series 2 for time series 2 for time series 2 Part F. Questions 19-20. [Video-1, Video-11, others if needed or desired ] At the end of their fiscal year, a consulting company wants a quarterly forecast for the number of contracts next year. In their forecasting analysis they examine the quarterly number of contracts over the past three years. Year 1 1 2 Quarter 1 Contracts 960 | 720 1 3 1440 A. Forecasts= B. Forecasts= C. D. Forecasts= Forecasts= E. None of the above 1 4 1680 2 1 1360 2 2 2 3 1020 2040 2380 1760 1320 2 4 Quarter 3 3888 3240 2040 2448 3 1 Quarter 4 5292 3780 2380 3332 quarterly forecasts for each quarter of year 4? Question 19. If you were working for my consulting company, what would I accept as the best Quarter 1 1728 Quarter 2 972 2160 1620 1360 1020 1088 612 3 2 >>>END OF HOMEWORK < < < C. The stationary time series exhibits a seasonal component but no trend. The non-stationary time series exhibits seasonal and trend components. E. None of the above 3 3 forecasts? Question 20. Apart from a random component, which statement would be correct in presenting the A. The stationary time series exhibits a trend component but no seasonal component. B. The non-stationary time series exhibits no seasonal or trend components. 1320 2640 3080 3 4 2 Part C. Questions 11-13 [ Video-8, others if needed or desired] Two time series are being considered and both contain random, seasonal, and linear trend components. However, the characteristic of the linear trend is sought. Quarter 1 Time Series 1 75 135 210 180 295 531 826 708 515 927 1442 1236 735 1323 2058 1764 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Question 11. Both time series have a linear trend. Which statement is true? (A) The trend is a step function for time series 1 and a step function for time series 2. (B) The trend is continuous for time series 1 and a step function for time series 2. C)The trend is a step function for time series 1 and continuous for time series 2. (D) The trend is continuous for time series 1 and continuous for time series 2. (E) None of the above Question 12. Both time series have the same seasonal indexes. What is the seasonal forecast for quarter 17? for time series 1 and 955 390 for time series 1 and (A) 940 (B) 405 (C) 390 (D) (E) None of the above for time series 1 and 405 955 for time series 1 and 940 for time series 2 for time series 2 for time series 2 for time series 2 (A) 1910 (B) 1990 for time series 1 and for time series 1 and 1990 1910 1880 (C) 1910 for time series 1 and (D) 1880 for time series 1 and 1910 (E) None of the above Time Series-2 60 207 476 540 280 603 1092 1068 500 999 1708 1596 720 1395 2324 2124 Question 13. Both time series have the same seasonally adjusted annual slope for the quarterly time series. What is the seasonally adjusted forecast for quarter 187 1910 for time series 2 for time series 2 for time series 2 for time series 2 2 Part C. Questions 11-13 [ Video-8, others if needed or desired] Two time series are being considered and both contain random, seasonal, and linear trend components. However, the characteristic of the linear trend is sought. Quarter 1 Time Series 1 75 135 210 180 295 531 826 708 515 927 1442 1236 735 1323 2058 1764 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Question 11. Both time series have a linear trend. Which statement is true? (A) The trend is a step function for time series 1 and a step function for time series 2. (B) The trend is continuous for time series 1 and a step function for time series 2. C)The trend is a step function for time series 1 and continuous for time series 2. (D) The trend is continuous for time series 1 and continuous for time series 2. (E) None of the above Question 12. Both time series have the same seasonal indexes. What is the seasonal forecast for quarter 17? for time series 1 and 955 390 for time series 1 and (A) 940 (B) 405 (C) 390 (D) (E) None of the above for time series 1 and 405 955 for time series 1 and 940 for time series 2 for time series 2 for time series 2 for time series 2 (A) 1910 (B) 1990 for time series 1 and for time series 1 and 1990 1910 1880 (C) 1910 for time series 1 and (D) 1880 for time series 1 and 1910 (E) None of the above Time Series-2 60 207 476 540 280 603 1092 1068 500 999 1708 1596 720 1395 2324 2124 Question 13. Both time series have the same seasonally adjusted annual slope for the quarterly time series. What is the seasonally adjusted forecast for quarter 187 1910 for time series 2 for time series 2 for time series 2 for time series 2 Part F. Questions 19-20. [Video-1, Video-11, others if needed or desired ] At the end of their fiscal year, a consulting company wants a quarterly forecast for the number of contracts next year. In their forecasting analysis they examine the quarterly number of contracts over the past three years. Year 1 1 2 Quarter 1 Contracts 960 | 720 1 3 1440 A. Forecasts= B. Forecasts= C. D. Forecasts= Forecasts= E. None of the above 1 4 1680 2 1 1360 2 2 2 3 1020 2040 2380 1760 1320 2 4 Quarter 3 3888 3240 2040 2448 3 1 Quarter 4 5292 3780 2380 3332 quarterly forecasts for each quarter of year 4? Question 19. If you were working for my consulting company, what would I accept as the best Quarter 1 1728 Quarter 2 972 2160 1620 1360 1020 1088 612 3 2 >>>END OF HOMEWORK < < < C. The stationary time series exhibits a seasonal component but no trend. The non-stationary time series exhibits seasonal and trend components. E. None of the above 3 3 forecasts? Question 20. Apart from a random component, which statement would be correct in presenting the A. The stationary time series exhibits a trend component but no seasonal component. B. The non-stationary time series exhibits no seasonal or trend components. 1320 2640 3080 3 4 Part F. Questions 19-20. [Video-1, Video-11, others if needed or desired ] At the end of their fiscal year, a consulting company wants a quarterly forecast for the number of contracts next year. In their forecasting analysis they examine the quarterly number of contracts over the past three years. Year 1 1 2 Quarter 1 Contracts 960 | 720 1 3 1440 A. Forecasts= B. Forecasts= C. D. Forecasts= Forecasts= E. None of the above 1 4 1680 2 1 1360 2 2 2 3 1020 2040 2380 1760 1320 2 4 Quarter 3 3888 3240 2040 2448 3 1 Quarter 4 5292 3780 2380 3332 quarterly forecasts for each quarter of year 4? Question 19. If you were working for my consulting company, what would I accept as the best Quarter 1 1728 Quarter 2 972 2160 1620 1360 1020 1088 612 3 2 >>>END OF HOMEWORK < < < C. The stationary time series exhibits a seasonal component but no trend. The non-stationary time series exhibits seasonal and trend components. E. None of the above 3 3 forecasts? Question 20. Apart from a random component, which statement would be correct in presenting the A. The stationary time series exhibits a trend component but no seasonal component. B. The non-stationary time series exhibits no seasonal or trend components. 1320 2640 3080 3 4
Expert Answer:
Answer rating: 100% (QA)
Question 11 Both time series have a linear trend Which statement is true A The trend is a step function for time ... View the full answer
Related Book For
Income Tax Fundamentals 2013
ISBN: 9781285586618
31st Edition
Authors: Gerald E. Whittenburg, Martha Altus Buller, Steven L Gill
Posted Date:
Students also viewed these finance questions
-
The expected rate of return on the stock index S is 12%.The continuously compounded risk-free rate of return is 5%.The continuously compounded dividend yield on the stock index is 2%.The current...
-
A road building company is purchasing an excavator for $500,000. The corporate tax rate is 45% and the expected after-tax rate of return is 12%. What would be the present value of the future tax...
-
outline the following three tunneling mechanisms: The ISATAP tunneling mechanism, including its components, addressing, routing and router configuration. The 6to4 tunneling mechanism, including its...
-
Given the following marginal utility schedule for good X and good Y for an individual A, given that the price of X and the price of Y are both $10, and that the individual spends all his income of...
-
A reaction that contributes to the depletion of ozone in the stratosphere is the direct reaction of oxygen atoms with ozone: At 298 K the rate constant for this reaction is 4.8 Ã 105 M-1 s-1....
-
In below Problems, find the average value of each function over the given interval. 1. f (x)=9-x2 over [0, 3] 2. f (x)=2x-x2 over [0, 2] 3. f (x)=x3-x over [-1, 1] 4. f (x)=1/2 x3+1 over [-2, 0] 5. f...
-
The foreign project's cash flows have to be converted to U. S. dollars, since the shareholders of the U. S. corporation (assuming they are mainly U. S. residents) are interested in dollar returns....
-
Aggarwal Company has had 10,000 shares of 10%, $100 par-value preferred stock and 80,000 shares of $5 stated-value common stock outstanding for the last three years. During that period, dividends...
-
Companies must obtain permission from a consumer before charging for overdrafts on blank 1 . debit cards credit cards neither both
-
Unpolarized light is incident in air on the flat surface of a sheet of glass of index 1.60 at an angle of 30.0 to the normal. Determine both amplitude coefficients of reflection. What is the...
-
4. If all the SAC's which had been INCURRED during the year 1995 had been expensed, illustrate how the 1995 income statement would have been affected (using after-tax dollar amounts). In your...
-
For the Following 64 bit assembly code what are the values for rax and sum at the end of executing the code? firstval QWORD 13 secondval QWORD 16 thirdval QWORD 2 sum QWORD 0 mov rax, firstval add...
-
Write a program to determine if a string is a palindrome. A palindrome is a word or phrase that has the same sequence of letters forwards and backwards (ex. Never odd or even). Create a function...
-
Write a program that can print out the common elements from each inner element of the 2D array seen below. The method can reference the element below, but should be dynamic to accept any size 2D...
-
Baam & Rachel Company manufactures sports accessories for almost 2 years. The data of its current or 2020 operations are as follows: Finished goods inventory, beginning 1,203,100 Raw materials...
-
A friend tells you that he can purchase a 10 percent coupon bond at face value. Your friend states that 10 percent is a "high" rate of interest. You know that the current rate of inflation is 8...
-
QS 14-6 (Algo) Computing ending work in process inventory LO P1 Compute ending work in process inventory for a manufacturer using the following information. Raw materials purchased Direct materials...
-
Consider model (9.18). What is the effect on the model parameter estimates, their standard errors, and the goodness-of-fit statistics when (a) The times at risk are doubled, but the numbers of deaths...
-
Dr. Ivan I. Incisor and his wife Irene are married and file a joint return for 2012. Ivan's Social Security number is 477-34-4321 and he is 48 years old. Irene I. Incisor's Social Security number is...
-
Frederick (Freddy) Freeweights (age 42) owns and operates a health club called ''Treadmills West.'' The business is located at 4321 Arnold Street, Alpine, CA 91901. Freddy had the following income...
-
Clifford Johnson has a limited partnership investment and a rental condominium. Clifford actively manages the rental condominium. During 2012, his share of the loss from the limited partnership was...
-
What information do the tangible capital asset turnover ratio, the average age of tangible capital assets, and the return on total assets provide users of financial statements?(Appendix)
-
What factors should be considered when selecting the amortization period for an intangible asset?(Appendix)
-
Apple a Day, Inc., and Unforgettable Edibles, Inc. are food catering businesses that operate in the same metropolitan area. Their customers include Fortune 500 companies, regional firms, and...
Study smarter with the SolutionInn App