How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.1278 -0.9340 0.1227 1.1085 2.1699
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.745004 0.054428 13.688 < 2e-16 ***
Age 0.004725 0.001310 3.606 0.000313 ***
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.696 on 9827 degrees of freedom
(37 observations deleted due to missingness)
Multiple R-squared: 0.001321, Adjusted R-squared: 0.00122
F-statistic: 13 on 1 and 9827 DF, p-value: 0.0003125
Yes, you may see and use the raw data.
This page last automatically updated on 2026-08-03.