2. An economist used the least squares procedure to fit a regression model of the form y₁ =B₁ + B₁x₁₂ + B₂x₂, +4,, where y is the dependent variable, x,, x, are independent variables, and 5,- N(0,0¹). Tabulated below are sums obtained from a random sample of 25 observations in order to explain the dependent variable: 2y=5596 Στ΄-18310.629 Σκv=7375.44 Calculations have produced the following matrix Ex=219 Σ. – 3055 Σx,y=337072 (xx)² = Σ., = 10232 Ex=6725688 Σ.xx, = 133899 [0.11321518 -0.00444859 -0.00008367] 0.00274378 -0.00004786 0.00000123 Page 1 of 2 a. Form the matrices: XX and XY. b. Use (XX)" and XY to compute the OLS estimates for B. i=0,1,2. c. Write the fitted regression model and interpret the partial regression coefficients.
2. An economist used the least squares procedure to fit a regression model of the form y₁ =B₁ + B₁x₁₂ + B₂x₂, +4,, where y is the dependent variable, x,, x, are independent variables, and 5,- N(0,0¹). Tabulated below are sums obtained from a random sample of 25 observations in order to explain the dependent variable: 2y=5596 Στ΄-18310.629 Σκv=7375.44 Calculations have produced the following matrix Ex=219 Σ. – 3055 Σx,y=337072 (xx)² = Σ., = 10232 Ex=6725688 Σ.xx, = 133899 [0.11321518 -0.00444859 -0.00008367] 0.00274378 -0.00004786 0.00000123 Page 1 of 2 a. Form the matrices: XX and XY. b. Use (XX)" and XY to compute the OLS estimates for B. i=0,1,2. c. Write the fitted regression model and interpret the partial regression coefficients.
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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