Suppose we run a multiple regression model with 3 predictors, and find the followingsummary output and variance-covariance matrix of the estimators.Coefficients:Estimate Std. Error t value Pr(>|t|)(Intercept) -0.1656 0.6135 -0.270 0.788х13.5200XXXXX XXXX XXXXх2-1.0411 2.4816 -0.420 0.677x3-0.3563 1.5866 -0.225 0.823Residual standard error: 0.967 on 46 degrees of freedomMultiple R-squared: 0.04076, Adjusted R-squared: -0.0218F-statistic: 0.6516 on 3 and 46 DF, p-value: 0.586(Intercept) х1 х2 х3(Intercept) 0.38 -0.53 -0.48 -0.68х1-0.53 10.56 -4.61 1.27х2-0.48 -4.61 6.16 -0.97x3-0.68 1.27 -0.97 2.52The standard error, t statistic and p-value corresponding to x1 have been X'ed out.What was the value of the t statistic?

From the given output, The estimate for the variable x1 is 3.5200 From the variance-covariance…

Answered: Suppose we run a multiple regression…

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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