- Describe the relationship between respondent’s personal (earnings) income and sex. Be thorough by discussing the test of significance, measure of association, and comparison of frequency distributions
- From the crosstabs printout, thoroughly discuss what happens to the relationship between respondent’s income and sex when you control for educational attainment. Describe the relationships using the test of statistical significance, appropriate measure of association and comparative frequency distributions. Based on the elaboration model, what is this an example of and tell why? Support your answer.
- Run Pearson’s correlations for TV hours, age, educ, realrinc, race2, and sex1. Your dependent variable is TV hours. Describe the relationship or non-relationship for each bivariate correlation. Which correlation exhibits the strongest relationship and speculates why this is the case? For the correlation with the strongest relationship, compute the coefficient of determination and describe what it means.
- Run Spearman’s correlations for socbar (spend evening at a bar), degree (not degree1), age1, sex1, rincom06, and race2. Your dependent variable is socbar. Describe the relationship or non-relationship for each bivariate correlation. Which correlation exhibits the strongest relationship and speculates why this is the case?
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