How well does Age predict Americans' AI Support?
Call: lm(formula = Support ~ Age, data = .) Residuals: Min 1Q Median 3Q Max -4.1623 -1.1058 -0.0760 0.8883 1.9284 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.189102 0.064627 18.40 <2e-16 *** Age -0.001488 0.001566 -0.95 0.342 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.612 on 6289 degrees of freedom (3 observations deleted due to missingness) Multiple R-squared: 0.0001435, Adjusted R-squared: -1.549e-05 F-statistic: 0.9025 on 1 and 6289 DF, p-value: 0.3421
Yes, you may see and use the raw data.
This page last automatically updated on 2025-09-11.