How well does Age predict Americans' AI Support?
Call:
lm(formula = Support ~ Age, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.0223 -1.0214 -0.0209 0.9789 1.9800
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.023e+00 5.909e-02 17.313 <2e-16 ***
Age -3.787e-05 1.413e-03 -0.027 0.979
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.66 on 8089 degrees of freedom
(11 observations deleted due to missingness)
Multiple R-squared: 8.879e-08, Adjusted R-squared: -0.0001235
F-statistic: 0.0007182 on 1 and 8089 DF, p-value: 0.9786
Yes, you may see and use the raw data.
This page last automatically updated on 2026-02-24.