Consider the following regression estimates (FN3)Linear regressionRobustincomeCoef. Std. Err.t P>|t|hours_cons18.91906 1.481248281.4618 34.3626412.77 0.0008.19 0.000where income is weekly income in NZ$ and hours is working hours per week.In this regression, what is the value of the t-statistic of the hours coefficient?Number of obsF(1, 498)Prob > FR-squaredRoot MSE500163.130.00000.2880593.03[95% Conf. Interval]16.008821.82933213.9482348.9754|| || || || ||=

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Consider the following regression estimates (FN3) Linear regression Robust income Coef. Std. Err. hours 18.91906 1.481248 _cons 281.4618 34.36264 Number of obs F(1, 498) Prob > F R-squared Root MSE t P>|t| 0.000 12.77 8.19 0.000 500 163.13 0.0000 0.2880 = 593.03 [95% Conf. Interval] 16.0088 21.82933 213.9482 348.9754 || || || || || = = =

Consider the following regression estimates (FN3) Linear regression Robust income Coef. Std. Err. hours 18.91906 1.481248 _cons 281.4618 34.36264 Number of obs F(1, 498) Prob > F R-squared Root MSE t P>|t| 0.000 12.77 8.19 0.000 500 163.13 0.0000 0.2880 = 593.03 [95% Conf. Interval] 16.0088 21.82933 213.9482 348.9754 || || || || || = = =

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter5: A Survey Of Other Common Functions

Section5.1: Logistic Functions

Problem 16E: Cable TV The following table shows the number C. in millions, of basic subscribers to cable TV in...

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