How well does Age predict Americans' AI Support?
Call: lm(formula = Support ~ Age, data = .) Residuals: Min 1Q Median 3Q Max -4.1688 -1.1124 0.8312 0.8804 1.9165 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.194821 0.066860 17.870 <2e-16 *** Age -0.001446 0.001627 -0.889 0.374 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.61 on 5835 degrees of freedom (3 observations deleted due to missingness) Multiple R-squared: 0.0001354, Adjusted R-squared: -3.6e-05 F-statistic: 0.7899 on 1 and 5835 DF, p-value: 0.3742
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This page last automatically updated on 2025-08-01.