Correlation between observed residuals and expected residuals under normality.
corr_test(model)
lm
correlation between fitted regression model residuals and expected values of residuals
model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars) corr_test(model)#> [1] 0.970066