Chapter 1: Introduction
1.1. Have a look at the models (a) and (b) from Example 1.1.
a) As pointed out in Section 3 in Appendix A, one-sided tests are more meaningful than two-sided when testing model parameters. This is one of several good reasons for offering some thoughts on the likely interrelations between the model variables. Do that, and write down your conclusions.
b) Estimate the two models using SPSS. Interpret and compare the results.
You can download the data: bwght.sav
The variables in the data set are:
faminc 1988 family income, $1000s
cigtax cigarette tax in home state, 1988
cigprice cigarette price in home state, 1988
bwght birth weight, ounces
fatheduc father's years of education
motheduc mother's years of education
parity Kbirth order of child
male =1 if male child
white =1 if white
cigs cigarettes smoked per day while pregnant
bwghtlbs birth weight, pounds