Risk Factor Analysis

Researchers believe that the length of pregnancy, mother smoke cigarette or not and mother’s education are all related to the birth weight. Related data are collected from a hospital for such an investigation.

Data: weightgesteduc_makeup.sav

1. Use the two independent sample t-test to test whether there is a significant difference in average weight of infants from smoking mothers and non-smoking mothers. Use 5% level of significance to perform this test. Is smoking a significant factor in affecting birth weight? (Attach SPSS output and interpret the result.)
2. Use regression approach to perform the test and interpret the result. Is smoking a significant factor in affecting birth weight? (Attach SPSS output and interpret the result.)
3. Use one-way ANOVA to check whether mother’s education is a significant factor for birth weight. (Attach SPSS output and interpret the result.)
4. Use regression approach to perform the test. (Attach SPSS output and interpret the result.)
5. Build a regression model to examine whether the smoking mother variable is a significant factor in predicting infants’ birth weight, with length of gestation and mother’s education variables also included in the model. (That is, using weight as the response variable and smoking, length of gestation period and mother’s education as predictor variables.) Is smoking a significant factor in affecting birth weight? (Attach SPSS output and interpret the result.)
6. Build a regression model to examine the significance of smoke variable and mother’s education variables in predicting birth weight. Do not use the length of gestation. What are the significant variables? (Attach SPSS output and interpret the result.) Is the result similar to the outcome from 5.?