Hi just need answer to this question thanks. Consider the following regression estimates (FN3)Linear regressionNumber of obsF(1, 498)500163.13Prob > F0.0000R-squared=0.2880Root MSE593.03RobustincomeCoef. Std. Err.tP>|t|[95% Conf. Interval]16.008821.82933hours_Cons18.91906281.46181.48124834.3626412.778.190.0000.000213.9482348.9754where income is weekly income in NZ$ and hours is working hours per week.There is another variable called days which is equal to hours/8. For example, if a person would have worked 40 hours per week, then their value for days would be 5 (40/8).If we would run a regression of income on days with the same data as above, what would be the value of the days coefficient?O a. 2.36b.94.60OC 26.92O d. 151.32

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Answered: Consider the following regression…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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