| Tag | Value |
|---|---|
| file | Descriptive-statistics_vufsw-correlations-1295-en_vufsw-correlations-1295-en |
| name | vufsw-correlations-1295-en |
| section | inferential statistics/parametric techniques/correlations |
| type | schoice |
| solution | FALSE, FALSE, TRUE, FALSE |
| Type | interpreting output |
| Program | NA |
| Language | English |
| Level | statistical literacy |
In the partial correlation matrix below, including zero-order correlations, we examined the relationship between gender and income and whether this relationship changes when holding the number of working hours constant. There is Y = income (INCOME: a higher score means a higher earned income), X = sex (GENDER: 0 = male; 1 = female), and the variable (Z) held constant in the lower part of the matrix is labor hours (WRKHRS: number of hours per week spent in labor).
How should we interpret the correlation of -.346 substantively?