Which of the following statements is TRUE? I. In multiple linear regression, there should not be any collinearity among the independent variables. II. In regression the independent variable is predicted by dependent variable. III. The best fit line is the line that minimizes the sum of the residues. a.) I and II b.) I and III c.) II and III d.) I, II, III

Which of the following statements is TRUE? I. In multiple linear regression, there should not be any collinearity among the independent variables. II. In regression the independent variable is predicted by dependent variable. III. The best fit line is the line that minimizes the sum of the residues. a.) I and II b.) I and III c.) II and III d.) I, II, III

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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2. If the coefficient of correlation is a positive value, then the intercept must also be positive b. the coefficient of determination (R square) can be either negative or positive, depending on the value of the slope the slope of the line must be positive d. a. с. the regression equation could have either a positive or a negative slope
z score z score for each for each value of value of Zzły х х -0.278 0.536 -0.149 -0.089 0.696 -0.062 -1.253 -1 -1.652 2.070 -0.714 -0.928 0.663 2.461 1.473 1.671 0.536 0.371 0.199 -0.089 4 -0.278 0.025 Σ: ỹ = 3.857 S, = 3.078 = 5.207 T= 4.286 s, = 3.200
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6 Given the following multiple linear regression where shell (shell gas stock) price. shell = 15 - 0.5 * (interest rate) + 0.4 * (oil price) + 0.003 * (S&P500). Estimate the price of shell when the interest rate is 22, oil price is $95, and S&P500 = 4000 A.64 B. 38 C. 15 D. 12
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Which of the following statements is TRUE? I. In multiple linear regression, there should not be any collinearity among the independent variables. II. In regression the independent variable is predicted by dependent variable. III. The best fit line is the line that minimizes the sum of the residues. a.) I b.) II c.) III d.) I and II e.) I and III f.) I, II, III
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