How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.0364 -0.9973 0.0104 1.0070 2.0172
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.9675059 0.0581672 16.633 <2e-16 ***
Age 0.0008504 0.0013900 0.612 0.541
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.669 on 8415 degrees of freedom
(13 observations deleted due to missingness)
Multiple R-squared: 4.448e-05, Adjusted R-squared: -7.435e-05
F-statistic: 0.3743 on 1 and 8415 DF, p-value: 0.5407
Yes, you may see and use the raw data.
This page last automatically updated on 2026-03-26.