How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.1466 -0.9161 0.1607 1.1430 2.2257
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.667966 0.053180 12.560 < 2e-16 ***
Age 0.005909 0.001280 4.615 3.98e-06 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.709 on 10470 degrees of freedom
(43 observations deleted due to missingness)
Multiple R-squared: 0.00203, Adjusted R-squared: 0.001935
F-statistic: 21.3 on 1 and 10470 DF, p-value: 3.979e-06
Yes, you may see and use the raw data.
This page last automatically updated on 2026-10-02.