11.10 Congress voting on women's issues. The American Economic Review (March 2008) published research on how the gender mix of a U.S. legislator's children can influence the legislator's votes in Congress. The American Association of University Women (AAUW) uses voting records of each member of Congress to compute an AAUW score, where higher scores indicate more favorable voting for women's rights. The researcher wants to use the number of daughters a legislator has to predict the legislator's AAUW score. a. In this study, identify the dependent and independent variables. b. Explain why a probabilistic model is more appropriate than a deterministic model. c. Write the equation of the straight-line, probabilistic model.

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**Congress Voting on Women’s Issues**

The *American Economic Review* (March 2008) published research on how the gender mix of a U.S. legislator’s children can influence the legislator’s votes in Congress. The American Association of University Women (AAUW) uses voting records of each member of Congress to compute an AAUW score, where higher scores indicate more favorable voting for women’s rights. The researcher wants to use the number of daughters a legislator has to predict the legislator’s AAUW score.

a. **In this study, identify the dependent and independent variables.**

   - *Dependent Variable*: AAUW score
   - *Independent Variable*: Number of daughters

b. **Explain why a probabilistic model is more appropriate than a deterministic model.**

   A probabilistic model is more appropriate because it accounts for the inherent variability and uncertainty in the relationship between the number of daughters and the AAUW score. Legislators may have varying influences and motivations affecting their voting behavior beyond just the number of daughters, which a probabilistic model can accommodate by incorporating randomness and allowing for variability.

c. **Write the equation of the straight-line, probabilistic model.**

   The equation of the straight-line probabilistic model can be expressed as:

   \[ \text{AAUW score} = \beta_0 + \beta_1 \times (\text{Number of daughters}) + \epsilon \]

   Where:
   - \(\beta_0\) is the y-intercept,
   - \(\beta_1\) is the slope of the line, representing the change in AAUW score for each additional daughter,
   - \(\epsilon\) is the random error term accounting for variability not explained by the model.
Transcribed Image Text:**Congress Voting on Women’s Issues** The *American Economic Review* (March 2008) published research on how the gender mix of a U.S. legislator’s children can influence the legislator’s votes in Congress. The American Association of University Women (AAUW) uses voting records of each member of Congress to compute an AAUW score, where higher scores indicate more favorable voting for women’s rights. The researcher wants to use the number of daughters a legislator has to predict the legislator’s AAUW score. a. **In this study, identify the dependent and independent variables.** - *Dependent Variable*: AAUW score - *Independent Variable*: Number of daughters b. **Explain why a probabilistic model is more appropriate than a deterministic model.** A probabilistic model is more appropriate because it accounts for the inherent variability and uncertainty in the relationship between the number of daughters and the AAUW score. Legislators may have varying influences and motivations affecting their voting behavior beyond just the number of daughters, which a probabilistic model can accommodate by incorporating randomness and allowing for variability. c. **Write the equation of the straight-line, probabilistic model.** The equation of the straight-line probabilistic model can be expressed as: \[ \text{AAUW score} = \beta_0 + \beta_1 \times (\text{Number of daughters}) + \epsilon \] Where: - \(\beta_0\) is the y-intercept, - \(\beta_1\) is the slope of the line, representing the change in AAUW score for each additional daughter, - \(\epsilon\) is the random error term accounting for variability not explained by the model.
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