How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.0998 -1.0718 -0.0592 0.9300 1.9552
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.1160745 0.0618032 18.059 <2e-16 ***
Age -0.0009028 0.0014856 -0.608 0.543
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.633 on 7099 degrees of freedom
(8 observations deleted due to missingness)
Multiple R-squared: 5.202e-05, Adjusted R-squared: -8.884e-05
F-statistic: 0.3693 on 1 and 7099 DF, p-value: 0.5434
Yes, you may see and use the raw data.
This page last automatically updated on 2025-11-24.