How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.0374 -1.0273 -0.0212 0.9756 1.9873
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.0446907 0.0594291 17.579 <2e-16 ***
Age -0.0004048 0.0014211 -0.285 0.776
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.657 on 7968 degrees of freedom
(11 observations deleted due to missingness)
Multiple R-squared: 1.018e-05, Adjusted R-squared: -0.0001153
F-statistic: 0.08115 on 1 and 7968 DF, p-value: 0.7757
Yes, you may see and use the raw data.
This page last automatically updated on 2026-02-13.