Correlation between observed residuals and expected residuals under normality.

corr_test(model)

Arguments

model
an object of class lm

Value

correlation between fitted regression model residuals and expected values of residuals

Examples

model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars) corr_test(model)
#> [1] 0.970066