If xestimatexestimate is estimated with a relative error of 0.001251 and an absolute error of 0.0006, then the possible value of xx is: a. -0.480 b. -0.481 c. -0.4797 d. None e. -0.47962
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If xestimatexestimate is estimated with a relative error of 0.001251 and an absolute error of 0.0006, then the possible value of xx is: a. -0.480 b. -0.481 c. -0.4797 d. None e. -0.47962
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- Consider the following factors. 1. (F/P,21%,34) 2. (A/G,13%,45) Find the numerical values of the factors using linear interpolation The numerical value of factor 1 is 445.79 Incorrect The numerical value of factor 2 is 7.50 7.50 CorrectThe prediction error for the validation set of my predictive model is Select one: O a. between 0.25 and 0.40. b. Less than 0.22. Between 0.22 and 0.35 d. Non of the answers is correct. C.Round each z-score to the nearest hundredth.A data set has a mean of x = 6.2 and a standard deviation of 2.2. Find the z-score for each of the following. (a) x = 6.2(b) x = 7.2(c) x = 9.0(d) x = 5.0
- The following is a set of data from a sample of n =11items Complete parts (a) through left parenthesis c right parenthesis . X 6 36 27 54 21 39 24 9 39 39 33 Y 2 12 9 18 7 13 8 3 13 13 11 a. Compute the covariance. (Round to three decimal places as needed.) b. Compute the coefficient of correlation. (Do not round until the final answer. Then round to three decimal places as needed.) c. How strong is the relationship between X and Y? Explain. A. X and Y have no correlation. B. X and Y have a perfect positive correlation because all points fall on a straight line with a positive slope. C. X and Y have a perfect negative correlation because all points fall on a straight line with a negative slope. D. X and Y have a strong positive correlation because as X increases, Y tends to increase also.A simple regression model for 10 pair of data resulted in a standard error of 3.95 (i.e., Se = 3.95), and the. The sum of squares of error (SSE) is ______. Group of answer choices 187.23 171.63 156.03 140.42 124.82Use the trial and error method combined with linear interpolation to solve for the IRR of The Judas design (to one decimal place, XX.X%)
- Which one of the following statements regarding the coefficient of determination is NOT correct? a. If the correlation coefficient (r) is 0.845 then the coefficient of determination is 0.714 b. As the correlation coefficient approach zero, the coefficient of determination increases rapidly. c. The coefficient of determination measures the proportion of changes in the dependent variable that can be explained by the independent variable. d. The coefficient of determination will always give a result between 0 and +1.The standard deviation of.alt=”f$ar{X},f$ “> is usually called the A.standard error of the sample B.randomized standard error C.standard error of the mean D.standard error of the populationFind the correlation of assets A and B if the standard deviation of A is 4 and standard deviation of asset B is 2. The covariance of asset A and B is 1.8268.
- EXAMPLE• Consider the following information:State Probability ABC, Inc. ReturnBoom .25 0.15Normal .50 0.08Slowdown .15 0.04Recession .10 -0.03• What is the expected return?• What is the variance?• What is the standard deviation?The covariance of returns between MSFT and AAPL is 0.0044. The standard deviation of the return of MSFT is 6.23%. If the correlation of returns between MSFT and AAPL is 0.6161, the variance of AAPL is closest to A. 2.7234%. B. 1.3141%. C. 0.1473%. D. 0.1146%.q27- Which of the following related to the Correlation coefficient (r) are true? Select one: a. r = +1: a perfect linear relationship exists between the two variables b. r > 1: a non-linear relationship between the two variables c. r = 0: a weak linear relationship between the two variables d. r = -1: no linear relationship exists between the two variables
