How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.1495 -0.9231 0.1448 1.1334 2.2070
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.691107 0.053459 12.928 < 2e-16 ***
Age 0.005660 0.001286 4.399 1.1e-05 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.702 on 10251 degrees of freedom
(42 observations deleted due to missingness)
Multiple R-squared: 0.001884, Adjusted R-squared: 0.001787
F-statistic: 19.35 on 1 and 10251 DF, p-value: 1.097e-05
Yes, you may see and use the raw data.
This page last automatically updated on 2026-09-12.