How well does Age predict Americans' AI Support?
Call: lm(formula = Support ~ Age, data = .) Residuals: Min 1Q Median 3Q Max -4.1444 -1.0847 -0.0654 0.9118 1.9575 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.175968 0.074515 15.782 <2e-16 *** Age -0.001756 0.001819 -0.965 0.334 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.6 on 4746 degrees of freedom (2 observations deleted due to missingness) Multiple R-squared: 0.0001963, Adjusted R-squared: -1.439e-05 F-statistic: 0.9317 on 1 and 4746 DF, p-value: 0.3345
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This page last automatically updated on 2025-04-24.