Table 2.
Linear regression analysis to predict internet use based on sex, age, income, population size, and educational level.
| Variable | Nonstandardized coefficient | Standardized coefficient beta | t-value | P value | |
| Regression coefficient B (SEa) | 95% CI |
|
|
|
|
| Constant | 4.09 (.18) | 3.74 to 4.44 | 22.81 | <.001 | |
| Sex | .11 (.06) | –0.002 to 0.23 | .03 | 1.93 | .054 |
| Age | –.50 (.02) | –0.54 to –0.47 | –.49 | –28.17 | <.001 |
| Education | .63 (.07) | 0.49 to 0.77 | .16 | 8.94 | <.001 |
| Income | .39 (.05) | 0.29 to 0.49 | .14 | 7.66 | <.001 |
| Population | .14 (.04) | 0.06 to 0.22 | .06 | 3.45 | .001 |
aSE: standard error.