Consider the following regression estimates (FN3) Linear regression Number of obs F(1, 498) = = |...

 

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

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To find the tstatistic of the days coefficient in the regression of income on days we need to first ... View the full answer