How well does Age predict Americans' AI Support?
Call: lm(formula = Support ~ Age, data = .) Residuals: Min 1Q Median 3Q Max -4.1710 -1.1093 0.8290 0.8815 1.9200 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.198799 0.067868 17.664 <2e-16 *** Age -0.001543 0.001655 -0.933 0.351 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.61 on 5671 degrees of freedom (2 observations deleted due to missingness) Multiple R-squared: 0.0001533, Adjusted R-squared: -2.296e-05 F-statistic: 0.8698 on 1 and 5671 DF, p-value: 0.3511
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This page last automatically updated on 2025-07-17.