How well does Age predict Americans' AI Support?
Call: lm(formula = Support ~ Age, data = .) Residuals: Min 1Q Median 3Q Max -4.1547 -1.0954 -0.0682 0.8998 1.9430 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.183533 0.063230 18.718 <2e-16 *** Age -0.001602 0.001526 -1.049 0.294 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.614 on 6585 degrees of freedom (4 observations deleted due to missingness) Multiple R-squared: 0.0001672, Adjusted R-squared: 1.54e-05 F-statistic: 1.101 on 1 and 6585 DF, p-value: 0.294
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This page last automatically updated on 2025-10-08.