How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.1321 -1.0893 -0.0685 0.9107 1.9471
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.155468 0.062519 18.482 <2e-16 ***
Age -0.001298 0.001506 -0.862 0.389
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.622 on 6825 degrees of freedom
(6 observations deleted due to missingness)
Multiple R-squared: 0.0001089, Adjusted R-squared: -3.76e-05
F-statistic: 0.7433 on 1 and 6825 DF, p-value: 0.3886
Yes, you may see and use the raw data.
This page last automatically updated on 2025-10-30.