Using the output for Question 4 of the IDAS, the mean absolute error is higher than the median absolute error. What does this suggest about the shape of the distribution of the absolute error?

Options:

Positively/right skewed

Negatively/left skewed

Approximately symmetric

ames test %>% df_stats(- absolute_error, min, max, mean, median, sd, IQR) response min max mean median sd IQR A data.frame: 1 x7 absolute_error 87.51993 368861.9 37013.27 25040.9 41256.83 37642.71