How well does Age predict Americans' AI Support?
Call: lm(formula = Support ~ Age, data = .) Residuals: Min 1Q Median 3Q Max -4.1747 -1.1035 0.8253 0.8858 1.9303 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.206745 0.068264 17.678 <2e-16 *** Age -0.001780 0.001665 -1.069 0.285 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.61 on 5605 degrees of freedom (2 observations deleted due to missingness) Multiple R-squared: 0.0002037, Adjusted R-squared: 2.534e-05 F-statistic: 1.142 on 1 and 5605 DF, p-value: 0.2853
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This page last automatically updated on 2025-07-11.