How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.1026 -0.9443 0.0948 1.0836 2.1321
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.800892 0.055832 14.345 < 2e-16 ***
Age 0.003725 0.001343 2.773 0.00557 **
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.689 on 9285 degrees of freedom
(29 observations deleted due to missingness)
Multiple R-squared: 0.0008274, Adjusted R-squared: 0.0007198
F-statistic: 7.689 on 1 and 9285 DF, p-value: 0.005568
Yes, you may see and use the raw data.
This page last automatically updated on 2026-06-14.