How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.0968 -0.9445 0.0910 1.0803 2.1264
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.809859 0.055921 14.482 < 2e-16 ***
Age 0.003542 0.001345 2.634 0.00846 **
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.688 on 9242 degrees of freedom
(28 observations deleted due to missingness)
Multiple R-squared: 0.00075, Adjusted R-squared: 0.0006419
F-statistic: 6.937 on 1 and 9242 DF, p-value: 0.008458
Yes, you may see and use the raw data.
This page last automatically updated on 2026-06-10.