A variety of summary statistics were collected for a small sample (10)of bivariate data, where the dependent variable was y and anindependent variable was x.E(Y - Y)(X – X) = 466E(X – X)2 = 234EX = 90EY = 170%3Dn = 10E(Y - Y)2 = 1434SSE = 505.98The least squares estimate of a equals%3D(1.991(-1.991( -0.9230923

x¯=∑xn=9010=9 y¯=∑yn=17010=17

A variety of summary statistics were collected for a small sample (10) of bivariate data, where the dependent variable was y and an independent variable was x. ΣΧ90 E(Y - Y)(X – X) = 466 ΣΥ170 E(X – X)2 = 234 %3D n = 10 E(Y - Y)2 = 1434 SSE = 505.98 The least squares estimate of a equals (1.991 (-1.991 ( -0.923 0923

A variety of summary statistics were collected for a small sample (10) of bivariate data, where the dependent variable was y and an independent variable was x. ΣΧ90 E(Y - Y)(X – X) = 466 ΣΥ170 E(X – X)2 = 234 %3D n = 10 E(Y - Y)2 = 1434 SSE = 505.98 The least squares estimate of a equals (1.991 (-1.991 ( -0.923 0923

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 34EQ

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