(a). If let me conduct any experiment, I will make same students randomly in
different size classes without regard to the students ability, intelligence quotient
and horizons. In this case, we can test the differences of students in different size
(i) The negative coefficient on hsperc means that when it is smaller ,the gpa is lower,
the worse the students standing in school.
(ii) colgpa = 1.392 .0135(20) + .00148(1050) = 2.676
(iii) Because the students A
Homoskedasticity and (iii) generally cause the t statistics not to have a t
distribution under H0.
Homoskedasticity is one of the CLM assumption, which is violates
(i) rdintens = .321 log(sales) = (.321/100)[100 log(sales) ]
5.2 2 > 0. Because higher tolerance of risk means more
willingness to invest in the stock market.When funds and risktol are
positively correlated. Now we use equation (5.5), where
X1 > 0: plim( 1 ) = 1 + 2 , X1 > 1 , so 1 has a positive
This generality is not necessary.
We can know the tstatistic is only about 0.3, which means that
roe is very statistically insignificant. The squared term does not
have a big effect on the slope even though the roes value is large.
(i)From the m