1. See the output of the following model,Dependent Variable: Y, Method: Least Squares, Observations 569.VariableCoefficientStd. ErrorConstantX1X2X3Y = a + B₁X₁ + B₂X₂ + B3X3 + ε6.177290-0.9277640.990047-0.003697R-squared 0.842971Mean dependent var 4.488665Adjusted R-squared 0.842138S.D. dependent var 1.171166S.E. of regression 0.465327Akaike info criterion 1:314851Sum squared residual 122.3388a) 82.429b) 84.429c) 86.421d) None of the above0.2462110.0714050.0264100.018770t-statistic25.08946-12.9930537.48715-0.196992P-value0.000000.000000.000000.08439Schwarz criterion 1.345388Log likelihood 370.0750Hannan-Quinn 1.326766F-statistic 1011.023Durbin-Watson stat 2.027822Prob(F-statistic) 0.000000In the context of the above model, test the joint hypothesis P₁ = B3 = 0 using a 5%significance level. The RSS of the restricted model is 158.9015. What is the F-statistic?

ObservationsN=569RRSS=158.9015URSS=122.3388 where RRSS and URSS are the residual sums of squares of…

Answered: 1. See the output of the following…

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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