The dataset BWGHT contains data on births to women in the United States. Two variables of interest are the dependent variable, infant birth weight in ounces (bught), and an explanatory variable, average

Q2. The dataset BWGHT contains data on births to women in the United States. Two variables of interest are the dependent variable, infant birth weight in ounces (bught), and an explanatory variable, average number of cigarettes the mother smoked per day during pregnancy (cigs). The following simple regression was esti mated using data on n 1,388 births: = bwght=119.77 -0.514-cigs a. What is the predicled birth weight when cigs-07? What about when cigs-20 (one pack per day)? What is the difference between the two predicted birth weights in percentage? [Hint: Look at the review slides for percentage changes.] b. Does the simple regression necessarily capture a causal relationship between the child’s birth weight and the mother’s smoking habits? Explain.
c. To predict a birth weight of 125 ounces, what would cigs have to be? Show
the work.
d. The proportion of women in the sample who do not smoke while pregnant is
about 0.85. Would you do a good job predicting their babies’ birth weights
using the regression model above. Use words to explain.


Buy plagiarism free, original and professional custom paper online now at a cheaper price. Submit your order proudly with us



Essay Hope