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ECO221_Practice%20Test%201

Test Instructions

  • Students must work individually on the exam.

  • A single-page cheat sheet and calculator are allowed; phones and computers are not permitted.

  • The test comprises 10 points, equating to 10% of the final grade.

  • For multiple-choice, fill in the bubble for the correct answer.

  • For numerical questions, write the final answer in the designated box.

  • Use the outside space for calculations and final sentence responses.

Multiple Choice Questions (Pages 2-4)

Cross-country Correlation of TFR and LFPR

  • The questions pertain to a graph displaying the total fertility rate (TFR) and female labor force participation rate (LFPR) across 22 OECD countries.

  • TFR refers to the average number of children a woman has during her lifetime.

  • LFPR is the fraction of adult women employed or seeking employment.

Questions

  1. Graph Type: Identify the type of graph.

    • Choices: Bar graph, line graph, histogram, pie chart, scatter plot.

  2. Correlation in 1980: Determine the correlation between TFR and female LFPR in 1980.

    • Choices: -0.6, -0.4, 0, 0.4, 0.8.

  3. β2000 Value: Assess the slope β2000 in the linear regression of TFR predicting LFPR.

    • Choices: β2000 < 0, β2000 = 0, β2000 > 0, not enough information.

  4. Causality of β2000: Evaluate whether β2000 represents the exact causal effect of women’s labor force on fertility.

    • Choices: Yes, no, not enough information.

Additional Multiple Choice Questions (Pages 4-8)

Women in Uganda and Nigeria's Education

  • Questions ask about averages of children born to women in Uganda and education completion rates among women in Nigeria.

Key Questions 5-8

  1. Average Children in Uganda: About the average number of children women have in Uganda.

    • Choices: 2.8, 4.5, 5.6, 6.4, 6.6.

  2. Women in Nigeria: Percentage of women (ages 15-49) with no higher education in Nigeria.

    • Choices: 3%, 10%, 30%, 90%, 97%.

  3. Main Takeaway: Assess the main conclusion related to education and number of children.

    • Choices related to education and fertility correlation.

  4. India's Absence: Reason for India's exclusion from the figure.

    • Several potential explanations related to geography, education, or analysis choices.

Questions about Figures (Pages 6-11)

Descriptive Statistics & Graph Interpretation

  • Questions require interpretation and analysis of figures concerning life expectancy and GDP/capita from the most populated countries.

  • Questions assess categorical variables, histogram drawing for life expectancy, mean calculation, properties of distributions, and correlation graph interpretation.

Linear Regression Analysis (Pages 12-15)

Infant Mortality and Mother’s Education

  • Analyzes correlation between mother's education and infant mortality based on data collected across 707 districts in India.

Key Questions 24-32

  1. Scatter Plot Assessment: Describe the relationship based on the scatter plot.

  2. Regression Coefficients: Determine values of β1 and β0 in the regression model.

  3. Regression Equation: Write out the regression equation.

  4. Interpret Slope: Explain the significance of the regression slope.

  5. Prediction for 17 Years of Education: Calculate the predicted infant mortality rate for high educational attainment.

  6. Prediction Analysis: Evaluate the sensibility of the prediction.

  7. r2 Interpretation: Calculate and interpret r2 in the regression context, reflecting on how much variance in infant mortality can be explained by education.