-4) What are the standard error of the coefficients on skipped and male respectively? -5) What...

-4) What are the standard error of the coefficients on skipped and male respectively? -5) What is the R-square of this regression? And the observation number? -6)What is the 95% confidence interval of the coefficient on male? ------------------------------------------- Number of obs = 141 F(5, 135) = 9.08 Prob > F = 0.0000 R-squared = 0.2355 Root MSE = .10796 ------------------------------------------------------------------------------ | Robust lcolGPA | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- lage | .1096206 .1829797 0.60 0.550 -.2522569 .4714981 hsGPA | .1421256 .0335665 4.23 0.000 .0757415 .2085098 ACT | .0042104 .0036565 1.15 0.252 -.003021 .0114418 male | .006346 .0194837 0.33 0.745 -.0321867 .0448788 skipped | -.0272508 .008722 -3.12 0.002 -.0445003 -.0100013 _cons | .2178343 .6002111 0.36 0.717 -.9691987 1.404867 ------------------------------------------------------------------------------

Solutions

Expert Solution

Note that all the answers are given in the table recreaterd from the given information.

					Number of obs = 141
					F(5, 135) = 9.08
					Prob > F = 0.0000
					R-squared = 0.2355
					Root MSE = .10796

Robust lcolGPA	Coef.	Std. Err.	t	P>\|t\|	[95% Conf. Interval]
lage	.1096206	.1829797	0.60	0.550	(-.2522569 , .4714981)
hsGPA	.1421256	.0335665	4.23	0.000	(.0757415 , .2085098)
ACT	.0042104	.0036565	1.15	0.252	(-.003021 , .0114418)
male	.006346	.0194837	0.33	0.745	(-.0321867 , .0448788)
skipped	-.0272508	.008722	-3.12	0.002	(-.0445003 , -.0100013)
_cons	.2178343	.6002111	0.36	0.717	(-.9691987 , 1.404867)

4. The respective standard errors are as and .

5. The R-squared is given as 0.2355 or 23.55%, meaning that 23.55% of variation in the dependent variable is explained by the variation in the independent variable.

The number of observation is given as 141.

6. The 95% CI of coefficient of male is given as [-0.0321867 , 0.0448788].

Rahul Sunny answered 1 year ago

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