How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.1563 -0.9182 0.1695 1.1507 2.2385
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.648727 0.052747 12.299 < 2e-16 ***
Age 0.006266 0.001269 4.937 8.06e-07 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.712 on 10676 degrees of freedom
(46 observations deleted due to missingness)
Multiple R-squared: 0.002278, Adjusted R-squared: 0.002184
F-statistic: 24.37 on 1 and 10676 DF, p-value: 8.06e-07
Yes, you may see and use the raw data.
This page last automatically updated on 2026-10-22.