1)

2) The symbol sigma subscript u typically refers to...

	a.	The population variance of the OLS estimator
	b.	The variance of the residual
	c.	the population variance of the error term
	d.	the zero-conditional mean assumption

3) Under the assumptions MLR.1-4 our parameter estimates from multiple OLS regression are...

		Unbiased, and our standard inference statistics are all correct.
		Unbiased, and our standard inference statistics need not be correct.
		Biased, but our standard inference statistics are all correct.
		Biased, and our standard inference statistics need not be correct.

4

Consider the following regression estimates (FN2) Linear regression Number of obs = 1,260 F(4, 1255) = 56.35 = 0.0000 Prob > F R-squared = 0.1121 Root MSE = 4.3987 Robust Coef. Std. Err. wage t P>|t| [95% Conf. Interval] belavg -1.063254 .3047845 -3.49 0.001 -1.661197 -.4653108 abvavg .0693348 .3150202 0.22 0.826 -.5486894 .687359 female -2.751963 .2820787 -9.76 -3.305361 -2.198565 0.000 3.71 0.000 married .2612646 .45606 1.481187 .9686236 6.699098 .2889831 23.18 0.000 6.132155 _cons 7.266042 assume that MLR 1-6 hold. In the regression above, how many coefficients (including the constant) are statistically significant at the 1% level? O a. 4 O b.5 OG 1 O d.3 QUESTION 13 Consider the following regression estimates (FN3) 500 Linear regression Number of obs F(1, 498) 163.13 0.0000 Prob > F R-squared 0.2880 Root MSE 593.03 Robust income Coef. Std. Err. t P>|t| [95% Conf. Intervall 21.82933 hours _cons 18.91906 1.481248 281.4618 34.36264 12.77 0.000 8.19 0.000 16.0088 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? O a. 2.55 O b. 102.16 O C. 12.77 O d. 1.60 = = 1.5 points Save