In: Math
#%Last, the researchers hopes to understand how GDP influence birth rates. They theorize that perhaps countries with higher gross domestic product will invest more in women’s schooling. If more women know how to read, they hypothesize, then those women may have fewer children (due to better birth control knowledge, higher career aspirations, etc). The researchers add a variable measuring the percentage of women who can read to the regression equation. The results are presented in Equation 3 of Table 1.
Table 1. OLS Regression Coefficients Representing Influence of Economic Output (GDP) and Control Variables on Total Fertility Rate
Equation 1 |
Equation 2 |
Equation 3 |
|
Gross Domestic Product per Capita (x 1000) |
-.033 (.000) |
-.033 (.000) |
-.007 (.141) |
Population size |
-.0000000784 (.378) |
-.0000000773 (.063) |
|
Percentage of Women who can Read |
-.043 (.000) |
||
Y-intercept (Constant) |
3.36 |
3.39 |
6.47 |
R2 |
.207 |
.213 |
.657 |
(Significance level in parentheses)
Question 1 What conclusion should the researcher draw about the focal relationship when comparing Equation 3 to Equation 2? (For this question, you should reference specific numbers that you are using to draw your conclusion.)