How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.0201 -1.0173 -0.0156 0.9836 1.9869
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.0221626 0.0587600 17.396 <2e-16 ***
Age -0.0001152 0.0014045 -0.082 0.935
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.661 on 8188 degrees of freedom
(11 observations deleted due to missingness)
Multiple R-squared: 8.222e-07, Adjusted R-squared: -0.0001213
F-statistic: 0.006732 on 1 and 8188 DF, p-value: 0.9346
Yes, you may see and use the raw data.
This page last automatically updated on 2026-03-05.