#$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.
Question 1. What is the reason the researchers areadding the variable measuring female literacy?
Question 2. Clearly explain which elaboration strategythe researchers are using when they add the new variable. You maydraw a picture on your worksheet. You should not reference anynumbers from the equation in answering this question
Only look at equation 3!!
Table 1. OLS Regression Coefficients Representing Influence ofEconomic Output (GDP) and Control Variables on Total FertilityRate
| 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)