1. The Child Health and Development Studies investigate a range of topics.One study considered all pregnancies between1960and1967among women in the Kaiser Foundation Health Plan in the San Francisco East Bay area.
3. In order to model infant weights,the following variables of interest were included in a multivariate linear regression model:length of pregnancy in days(gestation),parity(0if the child is the first born,and1otherwise),mother's age in years(age),mother's height in inches(height),and mother's pregnancy weight in pounds(weight) and mother's smoking status during pregnancy(1if the mother is a smoker,and0if not).
4. The summary table below shows the results of a regression model for predicting the average birth weight of babies based on all of the variables included in the data set.
5. EstimateStd.Errort valuep-value
7. (Intercept)-80.4114.3-5.600.0000
8. gestation0.440.0315.260.0000
9. parity-3.331.13-2.950.0033
10. age-0.010.09-0.100.9170
11. height1.150.215.630.0000
12. weight0.050.031.990.0471
13. smoke-8.400.95-8.810.0000
14. R²_adj=.2468
16. What percentage of variability in infant weight is accounted for by this model?
17. Cannot tell.
19. -80.41%.
21. -8.40%.
23. 100%.
25. 24.68%.