Question
In this exercise you will investigate the relationship between birth weight and smoking during pregnancy.The following table contains data for a random sample of babies
In this exercise you will investigate the relationship between birth weight and smoking during pregnancy.The following table contains data for a random sample of babies born in Pennsylvania in 1989. The data includes the baby's birth weight together with various characteristics of the mother, including whether she smoked during her pregnancy. Download the data from the table by clicking the download table icon
.
A detailed description of the variables used in the data set is available here
LOADING...
.
Use a statistical package of your choice to answer the following questions.What is the average value of Birthweight for all mothers in the sample?The average value of Birthweight for all mothers in the sample is
enter your response here
grams.
(Round
your response to three decimal
places)
What is the average value of Birthweight for mothers who smoke?The average value of Birthweight for mothers who smoke is
enter your response here
grams.
(Round
your response to three decimal
places)
What is the average value of Birthweight for mothers who do not smoke?The average value of Birthweight for mothers who do not smoke is
enter your response here
grams.
(Round
your response to three decimal
places)
Use the data in the sample to estimate the difference in average birth weight for smoking and nonsmoking mothers.The difference in average birth weight for smoking and nonsmoking mothers is
enter your response here
grams.
(Round
your response to three decimal
places)
What is the standard error for the estimated difference?The standard error for the estimated difference is
enter your response here
grams.
(Round
your response to three decimal
places)
Construct a 95% confidence interval for the difference in the average birth weight for smoking and nonsmoking mothers.The 95% confidence interval for the difference in the average birth weight for smoking and nonsmoking mothers is
[enter your response here,
enter your response here]
grams.
(Round
your response to three decimal
places)
Run a regression of Birthweight on the binary variable
Smoker.
Which of the following is true about the estimated slope and intercept?
(Check
all that
apply)
A.
The estimated slope is the difference in average birth weight for smoking and nonsmoking mothers.
B.
The estimated slope is the expected decrease in birth weight for every additional cigarette a mother smokes.
C.
The estimated intercept is the average birth weight for nonsmoking mothers.
D.
The estimated intercept plus the estimated slope is the average birth weight for smoking mothers.
Explain how the
SE1
is related to the standard error of the estimated difference in average birth weight for smoking and nonsmoking mothers.
A.
SE1
is equal to the standard error of the estimated difference in average birth weights for smoking and nonsmoking mothers if we assume heteroskedasticity.
B.
SE1
is equal to the standard error of the estimated difference in average birth weights for smoking and nonsmoking mothers if we assume homoskedasticity.
C.
SE1
is less than the standard error of the estimated difference in average birth weights for smoking and nonsmoking mothers.
D.
SE1
is greater than the standard error of the estimated difference in average birth weights for smoking and nonsmoking mothers.
Construct a 95% confidence interval for the effect of smoking on birth weight using
heteroskedasticity-robust
standard errors.The 95% confidence interval for the effect of smoking on birth weight is
[enter your response here,
enter your response here]
grams.
(Round
your response to three decimal
places)
Do you think that smoking is uncorrelated with other factors that cause low birth weight? That is, do you think that the regression error term
ui
has a conditional mean zero, given Smoking
(Xi)?
A.
Yes.
B.
No.
data
| Birth weight and smoking during pregnancy | |
| Birthweight | Smoker |
| 3062 | 0 |
| 3410 | 0 |
| 3714 | 0 |
| 3487 | 0 |
| 3657 | 0 |
| 3771 | 0 |
| 3771 | 0 |
| 3820 | 0 |
| 4196 | 0 |
| 3320 | 0 |
| 3827 | 0 |
| 4020 | 0 |
| 2808 | 0 |
| 3515 | 0 |
| 3090 | 0 |
| 2778 | 0 |
| 3771 | 0 |
| 3140 | 0 |
| 3317 | 0 |
| 4210 | 0 |
| 3076 | 0 |
| 3771 | 0 |
| 3487 | 0 |
| 3487 | 0 |
| 1559 | 0 |
| 3630 | 0 |
| 3572 | 0 |
| 3260 | 0 |
| 3430 | 0 |
| 4224 | 0 |
| 2955 | 0 |
| 3912 | 0 |
| 3196 | 0 |
| 3459 | 0 |
| 3459 | 0 |
| 3430 | 0 |
| 2750 | 0 |
| 3686 | 0 |
| 3260 | 0 |
| 3969 | 0 |
| 3430 | 0 |
| 3629 | 0 |
| 2863 | 0 |
| 2830 | 0 |
| 3105 | 0 |
| 2948 | 0 |
| 3175 | 0 |
| 4309 | 0 |
| 3232 | 0 |
| 3487 | 0 |
| 2807 | 0 |
| 3820 | 0 |
| 3941 | 0 |
| 2211 | 0 |
| 3204 | 0 |
| 3657 | 1 |
| 3487 | 1 |
| 2495 | 1 |
| 4253 | 1 |
| 3147 | 1 |
| 3600 | 1 |
| 3005 | 1 |
| 2552 | 1 |
| 3147 | 1 |
| 4593 | 1 |
| 3430 | 1 |
| 1985 | 1 |
| 3317 | 1 |
| 3487 | 1 |
| 3884 | 1 |
| 3289 | 1 |
| 3470 | 1 |
| 2665 | 1 |
| 3090 | 1 |
| 2835 | 1 |
| 1843 | 1 |
| 4451 | 1 |
| 2863 | 1 |
| 900 | 1 |
| 2353 | 1 |
| 3317 | 1 |
| 2850 | 1 |
| 3560 | 1 |
| 3080 | 1 |
| 2325 | 1 |
| 3119 | 1 |
| 3175 | 1 |
| 3313 | 1 |
| 3374 | 1 |
| 2750 | 1 |
| 2835 | 1 |
| 3345 | 1 |
| 2637 | 1 |
| 3742 | 1 |
| 3119 | 1 |
| 3345 | 1 |
| 3175 | 1 |
| 2013 | 1 |
| 3232 | 1 |
| 3286 | 1 |
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Microeconomics
Authors: Christopher T.S. Ragan, Richard G Lipsey
14th canadian Edition
321866347, 978-0321866349
