4. Consider the following estimated equation: log(bwght)n=(.02)4.69(.00009).0042cigs++(.0059).0084log(faminc)+(.016).045white,=1,388R2=.0416, where bwght is child birth weight in ounces, cigs is number of cigarettes smoked by the mother while pregnant per day, faminc is annual family income in thousands of dollars, male is a gender dummy variable equal to one for male child, and zero otherwise, and white is a race dummy variable equal to one for white child, and zero otherwise. (a) What is the expected effect on birth weight from smoking 10 more cigarettes per day (holding the other covariates fixed)? (b) How much more is a white child predicted to weigh than a nonwhite child, holding the other factors fixed? (c) Do you find a statistically significant racial difference in birth weight at the 1% level? 4. Consider the following estimated equation: log(bwght)n=(.02)4.69(.00009).0042cigs++(.0059).0084log(faminc)+(.016).045white,=1,388R2=.0416, where bwght is child birth weight in ounces, cigs is number of cigarettes smoked by the mother while pregnant per day, faminc is annual family income in thousands of dollars, male is a gender dummy variable equal to one for male child, and zero otherwise, and white is a race dummy variable equal to one for white child, and zero otherwise. (a) What is the expected effect on birth weight from smoking 10 more cigarettes per day (holding the other covariates fixed)? (b) How much more is a white child predicted to weigh than a nonwhite child, holding the other factors fixed? (c) Do you find a statistically significant racial difference in birth weight at the 1% level