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Consider the following outputs based on fitting a weighted arithmetic mean (WAM) and a weighted power mean with p = 2 (PM) WAM RMSE 0.1184

Consider the following outputs based on fitting a weighted arithmetic mean (WAM) and a weighted power mean with p = 2 (PM)

WAM

RMSE 0.1184 Average L1 error 0.1221 Pearson correlation 0.8290 Spearman correlation 0.8134 i w_i 1 0.234 2 0.128 3 0 4 0.638

PM

RMSE 0.1835 Average L1 error 0.1481 Pearson correlation 0.7312 Spearman correlation 0.7981 i w_i 1 0.2424 2 0 3 0 4 0.7576

Which of the following could be stated about the data that was used for fitting? [Multiple answers could be selected]

Question 5 options:

Better fitting is achieved for functions where the output variable in the data tends toward the higher inputs.

Better fitting is achieved for functions where the output variable in the data does not tend toward the higher inputs.

The most influential/useful variable in predicting the output is x4

The highest input is allocated the most weight.

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