Using the following data for 30 survey respondents, construct a bivariate table displaying the relationship between age and whether people voted in the 2012 election. Arrange the independent variable, age, in three categories: young (18–34), middle-aged (35–54), old (55 and older). Make sure your table follows the guidelines for bivariate table construction outlined in the text.
| Age | Voted in 2012? | Age | Voted in 2012? |
|---|---|---|---|
| 42 | yes | 41 | yes |
| 36 | no | 35 | no |
| 53 | yes | 18 | no |
| 19 | no | 75 | yes |
| 72 | no | 44 | yes |
| 57 | yes | 39 | no |
| 40 | yes | 20 | no |
| 22 | yes | 68 | yes |
| 21 | no | 25 | yes |
| 65 | no | 30 | no |
| 50 | yes | 48 | yes |
| 20 | yes | 59 | no |
| 81 | yes | 72 | no |
| 30 | yes | 21 | no |
| 38 | no | 46 | yes |
You have surveyed 200 respondents to test the hypothesis that political ideology (liberal, moderate, conservative) is related to the region of the country (Northeast, Midwest, South) in which people live. Treating region as the independent variable and political ideology as the dependent variable, determine the lambda coefficient for the following data.
| Ideology | Region | ||||
|---|---|---|---|---|---|
| Northeast | Midwest | South | |||
| Liberal | 40 | 16 | 8 | ||
| Moderate | 20 | 34 | 20 | ||
| Conservative | 14 | 16 | 32 | ||
In a random survey, 124 lower-class, middle-class, and upper-class respondents were asked: "How important is having a college education to getting ahead in life? Do you think it is very important, somewhat important, or not very important?" The hypothetical results of the survey follow. Calculate the gamma coefficient. What does the value of gamma tell you about the relationship between social-class standing and attitudes toward college education?
| Importance of College | Social Class | |||
|---|---|---|---|---|
| Northeast | Midwest | South | ||
| Not important | 13 | 12 | 6 | |
| Somewhat important | 9 | 14 | 10 | |
| Very important | 8 | 28 | 24 | |
The following hypothetical data show the daily alcohol consumption (in ounces) and the yearly job absenteeism rate (in days) of 12 workers. Determine the regression equation for predicting the number of workdays missed for an employee who consumes 12 ounces of alcohol daily.
| Daily Alcohol Consumption | Job Absenteeism | |||
|---|---|---|---|---|
| (in ounces) | (in days) | |||
| 0 | 2 | |||
| 1 | 3 | |||
| 1 | 3 | |||
| 2 | 2 | |||
| 2 | 3 | |||
| 3 | 4 | |||
| 4 | 5 | |||
| 4 | 6 | |||
| 5 | 5 | |||
| 6 | 6 | |||
| 6 | 7 | |||
| 7 | 5 | |||