How well does Age predict Americans' AI Support?
Call: lm(formula = Support ~ Age, data = .) Residuals: Min 1Q Median 3Q Max -4.1741 -1.1068 0.8259 0.8863 1.9311 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.205177 0.065629 18.364 <2e-16 *** Age -0.001726 0.001593 -1.083 0.279 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.613 on 6068 degrees of freedom (3 observations deleted due to missingness) Multiple R-squared: 0.0001933, Adjusted R-squared: 2.85e-05 F-statistic: 1.173 on 1 and 6068 DF, p-value: 0.2788
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This page last automatically updated on 2025-08-22.