Comparing the mean/median absolute error statistics between #4 and #6 of the IDAS output, what do these statistics suggest about the new model fitted in #6. Note: The first image refers to question #4, the second image refers to #6

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The mean and median absolute error decreased substantially for the new model in #6, therefore this suggests this model can predict sale price more accurately.

The mean and median absolute error increased substantially for the new model in #6, therefore this suggests this model can predict sale price less accurately.

The mean and median absolute error were similar for the new model in #6, therefore this suggests this model predicts sale price to a similar degree..

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 37642.71gf_pointrangeh(saleprice2 - mean + min + max, data = cond_error) %>% gf_labs(y = "Sale Price", x = "Absolute Error") response min max mean median sd IOR A data.frame: 1 x7 absolute_error 52.16783 280215.4 29439.43 20347.83 30535.25 27425.26