NAME: _______________________________________
Optional Regression Analysis Project
DUE Tuesday 4/21/09 at class time
NO LATE ASSIGNMENTS will be accepted under any circumstances
In this exercise, you will examine the determinants of life expectancy by conducting regression analysis of the
aggregate, cross-national data found in the GLOBAL05 dataset (in Folder #33). The measure of the dependent
variable (40] LIFE EXPCT) is the average [that is, mean] life expectancy. As detailed below, print out the
regression results for each of the models you analyze.
[1] Run a regression analysis in SPSS of 40] LIFE EXPCT using just 2 independent variables: 22] URBAN %02 &
132] GDPCAP PPP. Print out the results & attach them to this assignment; write Model 1 on the top of this output.
Adjusted R2 = _____
p (for the model in ANOVA) = _____
Provide the name and number of the independent variables that show a statistically significant relationship to the
dependent variable.
State the statistically significant relationship(s) in the form of hypotheses.
[2] Find 3 more variables found in the GLOBAL05 dataset that you believe may influence LIFE EXPCT; feel free to
use the PDF codebook for this purpose. Name each of the 3 below w/ its variable number & name.
[3] Run a regression model of 40] LIFE EXPCT using the 3 independent variables you discussed above in Q#2.
Print out the results and attach them to this assignment; write Model 2 on the top of this output.
Adjusted R2 = _____
p (for the model in ANOVA) = _____
Provide the name & number of the independent variables that show a statistically significant relationship to the
dependent variable.
State the statistically significant relationship(s) in the form of hypotheses.
[4] Run a regression model of 40] LIFE EXPCT using the 3 independent variables you discussed above in Q#2 and
the 2 independent variables named in Q#1. Print out the results and attach them to this assignment; write Model 3
on the top of this output.
Adjusted R2 = _____
p (for the model in ANOVA) = _____
Provide the name & number of the independent variables that show a statistically significant relationship to the
dependent variable.
State the statistically significant relationship(s) in the form of hypotheses.
[5] Run a regression model of 40] LIFE EXPCT using only the independent variables that proved significant in 1 or
more of the models analyzed in Q#1,3, & 4 above. Print out the results and attach them to this assignment; write
Model 4 on the top of this output.
Adjusted R2 = _____
p (for the model in ANOVA) = _____
Provide the name & number of the independent variables that show a statistically significant relationship to the
dependent variable.
State the statistically significant relationship(s) in the form of hypotheses.
[6] Which of these 4 regression models accounts for the most variation in 40] LIFE EXPCT? Why & how do you
conclude this? Be specific about your reasoning.