How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.1501 -0.9304 0.1411 1.1246 2.1960
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.705080 0.053967 13.06 < 2e-16 ***
Age 0.005495 0.001299 4.23 2.36e-05 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.7 on 10046 degrees of freedom
(39 observations deleted due to missingness)
Multiple R-squared: 0.001778, Adjusted R-squared: 0.001678
F-statistic: 17.89 on 1 and 10046 DF, p-value: 2.362e-05
Yes, you may see and use the raw data.
This page last automatically updated on 2026-08-23.