How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.1116 -0.9370 0.1088 1.0963 2.1504
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.774811 0.055343 14.00 < 2e-16 ***
Age 0.004158 0.001333 3.12 0.00181 **
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.693 on 9502 degrees of freedom
(32 observations deleted due to missingness)
Multiple R-squared: 0.001023, Adjusted R-squared: 0.0009183
F-statistic: 9.735 on 1 and 9502 DF, p-value: 0.001813
Yes, you may see and use the raw data.
This page last automatically updated on 2026-07-04.