4 The data set BWGHT contains data on births to women in the United States. Two...
3. (6 points) The dataset BWGT contains data on births to women in the United States. Two variables of interest are the dependent variable, infant birth weight in ounces (bwght), and an explanatory variable, the average number of cigarettes the mother smoked per day during pregnancy (cigs). The following simple OLS regression was estimated using data on n=1,388 births: bwgt = 119.77 – 0.514cigs What is the predicted birth weight when cigs=0? What about when cigs=20 (one pack per day)?...
3. (6 points) The dataset BWGT contains data on births to women in the United States. Two variables of interest are the dependent variable, infant birth weight in ounces (bwght), and an explanatory variable, the average number of cigarettes the mother smoked per day during pregnancy (cigs). The following simple OLS regression was estimated using data on n=1,388 births: bwgt = 119.77 – 0.514cigs a. What is the predicted birth weight when cigs=0? What about when cigs=20 (one pack per...
1. Consider the following estimated outcome: bwght = 119.77-0.514cigs Where bwght-infant birth weight in ounces; cigs-average number of cigarettes the mother smoked per day during pregnancy. (1) What is the predicted birth weight when cigs=0? What about when cigs-20(one pack per day)? Comment on the difference. (2) Does this simple regression necessarily capture a causal relationship between the child's birth weight and the mother's smoking habits? Explain. (3) To predict a birth weight of 125 ounces, what would cigs have...
please answer completely, and show all work You are interested in the effect of the (tobacco) smoking behavior of the mother orn birth weight. You have data about 1,338 births in the US that contain the infant's birth weight in ounces (bwght) and the average number of cigarettes the mother smoke during pregnancy (cigs) 1. What is the dependent and what is the independent variable? 2. You run a linear regression, and you got from the output that bwght 117.55-0.495cigs...
1. In the simple regression model y = + β1x + u, suppose that E (u) 0. Letting oo-E(u), show that the model can always be rewrit ten with the same slope, but a new intercept and error, where the new error has a zero expected value 2. The data set BWGHT contains data on births to women in the United States. Two variables of interest are the dependent variable, nfan birth weight in ounces (bught), and an explanatory variable,...
Question 3 A researcher is interested in the relationship between the birth weights of infants and mothers' smoking habits. He uses the birth weight of an infant (ounces) and the average number of cigarettes the mother smokes per day during the pregnancy as the dependent and independent variables, y and x, respectively. Using a sample of size (1388 the following model is obtained by the method of least squares: y-119.770.514.x (3.15) (0.13) SE e the figures in brackets are the...