4 - Smoking and Birthweight - North Carolina Birthweight Study Data description: The North Carolina State Center for Health Statistics and Howard W. Qdum Institute for Research in Social Science at the University of North Carolina at Chapel Hill make publicly available birth and infant death data for all children born in the state of North Carolina. These data can be accessed at: http://www.irss.unc.edu/odum/jsp/content node.jsp?nodeid=10 The data contained in NCbirth2006.JMP represent a random sample of n = 1000 births in North Carolina in 2006. The variables you will be using and their coding are described in the table below: Variable Name Description/Coding Gender Gender of child (M or F) Race of Child Race of child (W = Caucasian, B = black, O = other) Age of father years Age of mother years Education of father Years of schooling Education of mother Years of schooling Total pregnancies Number of pregnancies including current one Gest. Age Gestational age of infant at birth Prenatal Month of pregnancy prenatal care began Numvisits Number of prenatal visits Marital status 1 = married, 2 = not married Birth Weight (g) Birth weight in grams Smoking Status Y = smoked during pregnancy, N = did not smoke Pounds gained Pounds gained by mother during pregnancy Fit the model using Birth Weight (g) as the response. Include all other variables as predictors in the model. a) Adjusting for gender & race of child, age and years of education for the mother & father, total number of pregnancies of the mother, gestational age of the infant, month of pregnancy prenatal care began, the number of prenatal visits, the marital status of the mother, and the pounds gained by the mother during pregnancy we estimate that the mean birth weight of infants born to mothers who smoked during pregnancy is between g and g less than the mean birth weight of infants born to non-smokers with 95% confidence. (3 pts.) 0) Which of these predictors are statistically significant in this model? Give the model R-square and interpret. (3 pts.) c) Using residuals from the fit check the model assumptions and discuss. (3 pts.)