QUESTION 410. The following specific percentage seasonal indexes are given for the month of December:75.4 86.8 96.9 72.6 90.0 85.4Assume a multiplicative decomposition model. the expected trend for December is $900 and the median seasonal adjustment is used, what is the forecast for December? (Assuming theirregular component is set to the average value 1 we find that (Yt = Tt x St x lt ),A. 766.8B.723.6C.774.9D. 744.3

To forecast the value for December using the given specific percentage seasonal indexes and assuming…

Answered: 10. The following specific percentage…

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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21 a-d
9
Plot a calibration graph from the following data and determine the concentration of the unknown. Concentration(µg 1-1) 10 20 30 40 50 Unknown Peak area" 2315 3800 5900 8680 11600 5570 Internal standard 6150 5900 5740 6150 6730 6050 peak area“ "In arbitrary units.
I collected data on levels of anxiety after receiving three types of therapies (CBT, psycho education, and psycho analysis). Below are the anxiety scores for 9 patients. Is there a difference in anxiety based on treatment type ? CBT: 3, 2, 0 Psycho Education: 8, 8, 9 Psycho Analysis: 10, 12, 12 (Look at the table)
4 Answer Question 15-26 based on the information below: Table 1 gives data on weekly consumption expenditure (Y - in dollars) and weekly family income (X - in dollars). 15. 16. CONFIDENTIAL 17. 18. 19. 20. 21. 23. 24. A. 29520 and 260000 B. 57200 and 550.6667 C. 23.3333 and 420 D. 15.3333 and 130 26. What is the mean value of weekly consumption expenditure (Y) and weekly family income (X)? A. 0.0979 B. 0.2415 C. 2.6061 D. 4.6515 A. 0.0979 B. 0.2415 C. 2.6061 D. 4.6515 Y 4 7 8 10 13 What is the value of Ex² and Ey², given that x₁ = X₁ X while y₁=Y-Y? A. 29520 and 260000 B. 57200 and 550.6667 C. 23.3333 and 420 D. 15.3333 and 130 What is the value of Y and Σe, given that Y₁ = b₁ + b₂X, while e = Y₁-₁? A. 184 and 0 B. 184 and 2.4149 C. 15.3333 and 0 D. 15.3333 and 2.4149 A. 16.3124 B. 18.2704 15 17 Based on the method of Ordinary Least Squares (OLS), what is the value of intercept (b₁)? 18 20 22 24 26 A. 0.0021 B. 0.0915 C. 0.2415 D. 0.3025 Based on the method of Ordinary Least Squares…
Given below are the data relating to the indices and weights of the consumer's items for the current year 1998 : Items Indices Weights Food Fuel Clothing Rent Misc. 200 50 100 17 125 12 160 10 130 11 It is proposed to allow dearness allowance in 1998 is such a manner that it will fully compensate the price rise in food and clothing. Determine such dearness allowance in terms of percentage of wages.
a. What is the value of the standard error of the estimate (to 4 decima b. Test for a significant relationship by using thet test. Use a = 0.05. %3D What is the value of the t test statistic (to 2 decimals)? What is the p-value? Use Table 2 of Appendix B. Select your answer - What is your conclusion (a = 0.05)? %3D Select your answer - c. Use the F test to test for a significant relationship. Use a = 0.05.
Only 2.4
Q. 12. From the following data construct quantity index number using weighted average of relative method using (i) Arithmetic Mean, and (ii) Geometric Mean : Current year Оиantity Commodity Units Base year Price Qиаntity Price I Quintal 4 14 3 18 II KG 16 4 22 III Metres 5 18 25 IV Pairs 3 26 40
The depths (in inches) at which 10 artifacts are found are listed. Complete parts (a) and (b) below. 37.9 26.4 32.1 28.4 46.7 27.7 36.5 31.9 24.8 25.2 D (a) Find the range of the data set. Range = (Round to the nearest tenth as needed.) (b) Change 46.7 to 51.3 and find the range of the new data set. Range= (Round to the nearest tenth as needed.)
1. A study of the relation between the waistline and percent body fat in men yielded the data shown (waistline measurement in inches). waistline (x) 34.7 46.5 32.8 41.3 29.8 39.3 35.7 29.0 percent fat (y) 21.8 33.6 13.4 27.1 13.7 30.2 18.5 11.2 x = 36.1375 y = 21.1875 SSxx = 248.53875 SSay = 332.67375 SSyy = 494.30875 (a) Find the proportion of the variability in percent body fat that is accounted for by the size of the waistline. Explain fully. (b) Find the regression line for predicting y from x. (c) Construct a 95% confidence interval for the average percent body fat of all men whose waistline size is 34.0 inches. (d) test HO: Beta1 is 0 vs. Ha : Beta1 is not 0, compute the appropriate test statistic and p-value, then make your decision at a = 0.05. (e) Construct a 90% confidence interval for beta1. (f) Compute a 90% confidence interval for the average percent fat when waistline is 35.
A study was conducted to investigate factors such as diet and environment that may be related to the formation of enteroliths (enteroliths are calcifications that form in the gut of a horse and can cause considerable morbidity and mortality). The study contained seven stallions with their ages, in years, as follows: 7 12 10 14 Calculate the mean age for this group of stallions. Calculate to one place past the decimal. 14 10 11

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