How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.1118 -1.0780 -0.0617 0.9241 1.9547
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.131427 0.061844 18.295 <2e-16 ***
Age -0.001090 0.001487 -0.733 0.464
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.628 on 7034 degrees of freedom
(7 observations deleted due to missingness)
Multiple R-squared: 7.632e-05, Adjusted R-squared: -6.583e-05
F-statistic: 0.5369 on 1 and 7034 DF, p-value: 0.4637
Yes, you may see and use the raw data.
This page last automatically updated on 2025-11-18.