# 2023 Instructions Use SPSS please save and submit the output file spv Follow the naming conv ention as the

2023 Instructions Use SPSS please save and submit the output file spv Follow the naming conv ention as the

Instructions: Use SPSS, please save and submit the output file (*.spv). Follow the naming conv ention as the word file. Submissions without code/ output files will not be graded. Data description and variable names: See documentation.pdf

Before attempting the questions, run descriptive statistics. You must have 3000 observations and 12 variables.

Questions:

1) A researcher is interested in the effect of mother’s smoking during pregnancy on birthweight. Run a regression. What is the estimated slope on smoker? [1]

2-a) To the model in Q1, add the mother characteristics variables – age, educ and unmarried – and run the regression again. [1]

2-b) What happens to the estimated slope on smoker now? Does it change? Is there an omitted variable bias? [1]

3-a) To the model in Q2, add the following variables: alcohol, tripre0, tripre2 and tripre3. [1]

3-b) What happens to the R2 and adjusted R2? Compare from Q1 and Q2. [1]

3-c) Interpret the coefficient on age. [1]

4) Run the model in Q3, without the intercept (or constant) and add all tripre1 as well.
[Hint: In R, add “+0” to the lm formula. In SPSS, go the options dialogue box in linear regression and turn off the constant option.] [1]

5) All questions here refer to the model in Q1:

5-a) In the regression estimated in Q1, is the slope coefficient on smoker significantly different from 0? Test a hypothesis at a 5% level of significance. [1]

5-b) The variable smoker is a dummy variable. Write out the null and alternate hypothesis in words. [1]

5-c) Use the confidence interval approach to test the hypothesis in 5-a. Use a 95% confidence level.

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