How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.1500 -0.9167 0.1716 1.1590 2.2473
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.639216 0.052408 12.197 < 2e-16 ***
Age 0.006305 0.001262 4.995 5.97e-07 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.714 on 10860 degrees of freedom
(49 observations deleted due to missingness)
Multiple R-squared: 0.002292, Adjusted R-squared: 0.0022
F-statistic: 24.95 on 1 and 10860 DF, p-value: 5.971e-07
Yes, you may see and use the raw data.
This page last automatically updated on 2026-11-11.