Estimate the model parameters using the method of least squares (from Excel output) and state the estimated model equation. Question 1SUMMARY OUTPUTRegression StatisticsMultiple RR SquareAdjusted RSquareStandard0.9996660.9993330.999307ErrorObservations39.5124754ANOVASignificanceFDfSMSFRegressionResidual2 1.19E+08 59656970 38211.391.03E-815179622.991561.235Total531.19E+08StandardUpper95%Lower95.0%Upper95.0%CoefficientsErrort StatP-valueLower 95%15.44438InterceptReall incomeReal Wealth-9.7149112.53213-0.7752 0.441801-34.8742 15.44438-34.87420.7264610.0139951.925367.96E-460.698374 0.7545480.698374 0.7545480.0364110.00258914.065323.48E-190.031214 0.041608 0.031214 0.041608

The least square regression equation is of the form- y^=b0+b1x2+b2x2 Where, b0 is the constant value…

Answered: Estimate the model parameters using the…

Estimate the model parameters using the method of least squares (from Excel output) and state the estimated model equation.

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter4: Eigenvalues And Eigenvectors

Section4.6: Applications And The Perron-frobenius Theorem

Problem 25EQ

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