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- Consider the following set of dependent and independent variables. Complete parts a through c below. y 10 11 15 15 21 24 27 32 X1 2 6 6 8 6 11 17 21 X2 17 9 13 10 3 8 6 4 a. Using technology, construct a regression model using both independent variables. = + + (Round to four decimal places as needed.)Consider the following set of dependent and independent variables. Complete parts a through c below. y 9 11 D 15 15 21 24 28 32 X1 2 6 6 8 6 11 15 20 X2 16 10 14 11 3 8 7 4 a. Using technology, construct a regression model using both independent variables. y= (15.3952) + (1.0092) x₁ + (-0.5869)x2 (Round to four decimal places as needed.) b. Test the significance of each independent variable using α = 0.05. Test the significance of x₁. Identify the null and alternative hypotheses. Ho B₁ = H₁ B₁ 0 0 (Type integers or decimals.) Calculate the appropriate test statistic. The test statistic is 4.20 (Round to two decimal places as needed.) Determine the appropriate critical value(s) for α = 0.05. The critical value(s) is (are) ☐ (Round to two decimal places as needed. Use a comma to separate answers as needed.)Calculate: In(n) In(1 +r) where n=2, r=0.137, and In is the natural log function.
- The linear kos function is written by the equation Y = a + bX. of the equation, X represents.....In the linear regression equation y = a + bx, the letter b is best described as a (n):Find the optimal solution for the following problem. Note: Round your answers to 3 decimal places. Maximize C = 13x + 9y subject to and 6x + 11y ≤ 18 16x + 21y ≤ 41 x ≥ 0, y ≥ 0. a. What is the optimal value of x? X b. What is the optimal value of y? c. What is the maximum value of the objective function?
- Consider the following utility function: u = 400 (1 + 1)−1. xy a. Is this utility function homogenous? Briefly explain. b. Use implicit differentiation to find the MRCS. c. Write down an expression for the indifference curve if u = 20.get the value of P, Q, R then arrange it from smallestLooking for steps on how to solve it using: y=p(1+r/n)^nt
- To 4-digit accuracy, what is the Mean of IWM return and the Mean of EEM return?Consider the generalised linear regression model: y = Xẞ + e, with E[e] = 0 and E[ee] = 022. Let the model be estimated using both OLS and GLS, and let the OLS estimator of ẞ be denoted as BOLS and its GLS estimator as BGLS. Which of the following statements are incorrect about the OLS and GLS estimators? (a) BOLS is BLUE (b) BGLS is BLUE (c) The variance of BOLS cannot be less than that of BGLS (d) BGLS is more efficient that BOLSShow that the set is linearly dependent by finding a nontrivial linear combination of vectors in the set whose sum is the zero vector. (Use S1, S2, and S3, respectively, for the vectors in the set.) (0, 0) = S={(5, 2), (-1, 1), (4, 0)) Express the vector s₁ in the set as a linear combination of the vectors $2 and $3. 51= Need Help? Read It Watch It Submit Answer