How well does Age predict Americans' AI Support?
Call: lm(formula = Support ~ Age, data = .) Residuals: Min 1Q Median 3Q Max -4.1452 -1.0878 -0.0698 0.9073 1.9516 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.174753 0.073126 16.065 <2e-16 *** Age -0.001641 0.001785 -0.919 0.358 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.602 on 4912 degrees of freedom (2 observations deleted due to missingness) Multiple R-squared: 0.000172, Adjusted R-squared: -3.16e-05 F-statistic: 0.8448 on 1 and 4912 DF, p-value: 0.3581
Yes, you may see and use the raw data.
This page last automatically updated on 2025-05-09.