How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.0796 -0.9566 0.0713 1.0602 2.0965
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.853190 0.056245 15.17 <2e-16 ***
Age 0.002795 0.001350 2.07 0.0385 *
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.681 on 9069 degrees of freedom
(25 observations deleted due to missingness)
Multiple R-squared: 0.0004722, Adjusted R-squared: 0.000362
F-statistic: 4.284 on 1 and 9069 DF, p-value: 0.0385
Yes, you may see and use the raw data.
This page last automatically updated on 2026-05-25.