Question: 2 . The following equations were estimated using the data in BWGHT . RAW:whitemaleparitycfacigsbwght 0 4 5 . 0 3 4 . 0 1 7

2. The following equations were estimated using the data in BWGHT.RAW:whitemaleparitycfacigsbwght 045.034.017.)minlog(00110.0052.65.4)log(++++=
(.38)(.0010)(.0085)(.006)(.011)(.015)
n =1,388, R2=0.0472whitemaleparitycfacigsbwght 055.027.016.)minlog(0093.0044.66.4)log(++++=
(.22)(.0009)(.0059)(.006)(.010)(.013)fatheducmotheduc 0032.0030.+
(.0030)(.0026)
n =1,191 R2=0.0493
where bwght is the birth weight in pounds, cigs denote average number of cigarettes the
mother smoked per day during pregnancy, parity is the birth order of this child, faminc
denotes annual family income, motheduc denotes years of schooling for the mother, and
fatheduc is the number of years of schooling for the father. We have added a dummy
variable for whether the child is male and a dummy variable indicating whethe the child
is classified as white.
2
a. In the first equation, interpret the coefficient on the variable cigs. In particular, what is
the effect of birth weight from smoking 10 more cigarettes per day?
b. How much more is a white child predicted to weight than a nonwhite child, holding the
other factors in the first equation fixed? Is the difference statistically significant?
c. Comment on the estimated effect and statistical significance of motheduc.
d. From the given information, why are you unable to compute the F statistic for joint
significance of motheduc and fatheduc? What would you have to do to compute the F
statistic?

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