#%Last, the researchers hopes to understand howGDP influence birth rates. They theorize that perhaps countrieswith higher gross domestic product will invest more in women’sschooling. If more women know how to read, they hypothesize, thenthose women may have fewer children (due to better birth controlknowledge, higher career aspirations, etc). The researchers add avariable measuring the percentage of women who can read to theregression equation. The results are presented in Equation 3 ofTable 1.
Table 1. OLS Regression Coefficients RepresentingInfluence of Economic Output (GDP) and Control Variables on TotalFertility 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 theresearcher draw about the focal relationship when comparingEquation 3 to Equation 2? (For this question, you should referencespecific numbers that you are using to draw your conclusion.)