choices: a. true b. false c. others (specify) 1. For stationary to attained, the data should undergone differencing so that the variance can be stabilize. 2. The series is called a white noise series if the forecast errors or residuals has no visible pattern 3. White noise models are widely used for non-stationary data.

choices: a. true b. false c. others (specify) 1. For stationary to attained, the data should undergone differencing so that the variance can be stabilize. 2. The series is called a white noise series if the forecast errors or residuals has no visible pattern 3. White noise models are widely used for non-stationary data.

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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Not all choices on the right will necessarily be used. Select a letter from the choices on the right into each of the drop-down boxes on the left. sample linear correlation coefficient a. o² coefficient of determination b. В population variance С. р probability of a Type Il error d. o y – intercept of a regression equation е. а f. R? g. p h. b1 i. r j. p k. bo
Pax World Balanced is a highly respected, socially responsible mutual fund of stocks and bonds. Vanguard Balanced Index is another highly regarded fund that represents the entire U.S. stock and bond market (an index fund). The mean and standard deviation of annualized percent returns are shown below. The annualized mean and standard deviation are for a recent 10-years period.†. If x represents return and s represents risk, then explain why the coefficient of variation can be taken to represent risk per unit of return. From this point of view, which fund appears to be better? Explain. A. Since the CV is s/s2 we can say that the CV represents the risk per unit of return; the Pax fund appears to be better because the CV is smaller. B. Since the CV is s/s2 we can say that the CV represents the risk per unit of return; the Vanguard fund appears to be better because the CV is smaller. C. Since the CV is s/x we can say that the CV represents the risk per unit of return; the Pax fund…
Example 10: P and Q two securities, with expected returns of 15% and 24% respectively, and standard deviation of 35% and 52% respectively. Calculate the standard deviation of a portfolio weighted equally between the two securities if their correlation is -0.9.
13. STATEMENTS FIRST: CORRELATION CAN BE USED TO DETERMINE THE DEGREE OF RELATIONSHIP BETWEEN VARIABLES SECOND: COEFFICIENT CORRELATION RANGES FROM 0-1A. IF BOTH STATEMENTS ARE TRUEB. IF BOTH STATEMENTS ARE FALSEC. IF THE FIRST IS TRUE AND THE SECOND IS FALSED. IF THE FIRST IS FALSE AND THE SECOND IS TRUE 14. STATEMENTS FIRST; STANDARD DEVIATION IS THE SQUARE ROOT OF THE VARIANCE SECOND: DISPERSION GIVES US THE IDEA OF THE DEGREE OF SCATTERING OF THE DATA IN THE DISTRIBUTION A. IF BOTH STATEMENTS ARE TRUEB. IF BOTH STATEMENTS ARE FALSEC. IF THE FIRST IS TRUE AND THE SECOND IS FALSED. IF THE FIRST IS FALSE AND THE SECOND IS TRUE 15. CHARACTERISTICS OF THE NORMAL CURVEI. CURVE IS ASYMMETRICAL ABOUT MEANII. TAILS OF THE NORMAL CURVE ARE ASYMPTOTIC RELATIVE TO THE HORIZONTAL LINEIII. TOTAL AREA UNDER THE NORMAL CURVE IS EQUAL TO 1IV. NORMAL CURVE ARE SUBDIVIDED INTO THE THREE STANDARD DEVIATION A. I, II, AND III ONLYB. II, III, AND IV ONLYC. I, II, III, AND IVD. I, II, AND IV ONLYE. I,…
34) If a population exhibits a skew of -5.00 and an excess kurtosis of 5.00 which of the following is true? The population mean exceeds the median. The population variance exceeds the standard deviation. The population standard deviation exceeds the variance. The population median equals the mean. The population median exceeds the mean.
Directions: Compute the total returns, the average of returns, and the standard deviation of the following stocks: 1) 2) EGRH Inc. MP, Ltd. AVERAGE OF STOCK RETURN YEA AVERAGE OF RETURNS (x) YEAR STOCK RETURN PRICE (x₁) PRICE RETU Jan-2021 Po Feb-2021 P8.6 Jan-2021 PO. Feb-2021 PO.090 Mar-2021 P0.097 Apr-2021 PO.189 May-2021 PO.164 Mar-2021 P9.14 Apr-2021 P13.30 May-2021 P13 Jun-2021 P60 Jul-2021 16.94 Jun-2021 P0.495 Jul-2021 PO.28 Aug-2021 PO Sep-2021 90 Aug-202 P13.70 Sep-2 P14.88 Oct-2021 0.375 Oct 21 P15.30 Nov-20 PO.325 N2021 P14.30 Dec-2 PO.330 ec-2021 P15.52 3) SD (8) GSM Inc. YEAR Jan-2021 P57. Feb-2021 P52.90 Mar-2021 P50.95 Apr-2021 P58.25 May-2021 P74.05 Jun-2021 P94.75 Jul-2021 P85.0 Aug-2021 P10 Sep-2021 P 00 Oct-2021 01.00 Nov-2021 100.40 Dec-202 P113.80 SD (8) = STOCK RETURN PRICE (x₁) AVERAGE OF RETURNS -x)² SD (8) = ACEE, Inc. YEAR STOCK RETURN PRICE (x₁) Jan-2021 P13.56 Feb-2021 P20.80 Mar-2021 P22.50 Apr-2021 P18.90 May-2021 P17.00 Jun-2021 P18.76 Jul-2021 P16.38…
21. in a regression model if the error distribution is normally distributed then A. None B. Residual plot will give a line with 45angles with the X-axis. C. Normal probability plot will give a line with slope 1. D. Normal probability plot will give a line with 15° angles with the X-axis.
Directions: Compute the total returns, the average of returns, and the standard deviation of the following stocks: 1) 2) EGRH Inc. DMP, Ltd. STOCK RETURN YEA AVERAGE OF RETURNS (x) YEAR STOCK RETURN PRICE AVERAGE OF RETURNS (x) PRICE (x₁) Jan-2021 P8.30 Feb-2021 P8.60 Jan-2021 PO. Feb-2021 PO.090 Mar-2021 P0.097 Apr-2021 PO.189 May-2021 PO.164 Mar-2021 P9.14 Apr-2021 P13.30 May-2021 P13.74 Jun-2021 P14.80 Jul-2021 P16.94 Jun-2021 P0.495 Jul-2021 PO.28 Aug-2021 PO Sep-2021 90 Aug-2021 P13.70 Sep-2021 P14.88 Oct-2021 0.375 Oct-2021 P15.30 Nov-20 PO.325 Nov-2021 P14.30 Dec-2 PO.330 Dec-2021 P15.52 3) SD (8) GSM Inc. STOCK YEAR PRICE Jan-2021 P57.70 Feb-2021 P52.90 Mar-2021 P50.95 Apr-2021 P58.25 May-2021 P74.05 Jun-2021 P94.75 Jul-2021 P85.00 Aug-2021 P105.00 Sep-2021 P114.00 Oct-2021 | P101.00 Nov-2021 P100.40 Dec-2021 P113.80 SD (8) = RETURN (x₁) -x)² AVERAGE OF RETURNS (x-x)² (x) SD (8) = ACEE, Inc. YEAR STOCK RETURN PRICE (x₁) Jan-2021 P13.56 Feb-2021 P20.80 Mar-2021 P22.50 Apr-2021…
LINEAR REGRESSION 1) An important company asks you as a professional to build a report where the products are evidenced defective ( x ) versus the number of times maintenance and supervision was performed on the machine ( y ) and they supply these data. (img 1) A. What are the mean and median of each distribution? B. What is the variance and standard deviation of each distribution? C. Make the scatterplot, calculate the covariance and discuss it D. Calculate Pearson's correlation coefficient. Is it consistent with covariance? comment on it thanks for help
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Consider the rate of return of stocks ABC and XYZ. Year 1 2 SAWN T 3 4 5 FABC 24% 10 17 4 1 ABC XYZ a. Calculate the arithmetic average return on these stocks over the sample period. (Round your answers to 2 decimal places.) rxyz 34% 12 18 1 -9 Arithmetic Average ABC XYZ % % b. Which stock has greater dispersion around the mean return?
5. When the Pearson Product Moment Correlation is equal to -0.68, there is a ______ linear trend.