How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.0867 -1.0596 -0.0460 0.9441 1.9703
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.1035567 0.0613316 17.993 <2e-16 ***
Age -0.0009352 0.0014713 -0.636 0.525
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.642 on 7318 degrees of freedom
(9 observations deleted due to missingness)
Multiple R-squared: 5.52e-05, Adjusted R-squared: -8.144e-05
F-statistic: 0.404 on 1 and 7318 DF, p-value: 0.525
Yes, you may see and use the raw data.
This page last automatically updated on 2025-12-15.