How well does Age predict Americans' AI Support?
Call: lm(formula = Support ~ Age, data = .) Residuals: Min 1Q Median 3Q Max -4.1511 -1.0980 -0.0808 0.8962 1.9335 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.176901 0.071176 16.535 <2e-16 *** Age -0.001434 0.001733 -0.827 0.408 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.605 on 5164 degrees of freedom (2 observations deleted due to missingness) Multiple R-squared: 0.0001325, Adjusted R-squared: -6.107e-05 F-statistic: 0.6846 on 1 and 5164 DF, p-value: 0.4081
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This page last automatically updated on 2025-06-01.