7 The following multinomial logistic regression model predicts the TYPE of a retail customer (single, family, or business) based on the average amount that they spend per visit, SPEND, and the average frequency of their visits, FREQ Use this model to make predictions for the following query instances Mw Mw single Wfamily Mw business (q) logistic(0 7993 15 9030 x SPEND 9 5974 FREQ) (q) logistic(3 6526 0 5809 x SPEND 17 5886 x FREQ) (q) logistic(4 6419 14 9401 x SPEND 6 9457 FREQ)

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Question: 7. The following multinomial logistic regression model predicts the TYPE of a retail customer (single, family, or business) based on the average amount that they

7. The following multinomial logistic regression model predicts the TYPE of a retail customer (single, family, or business) based on the average amount that they spend per visit, SPEND, and the average frequency of their visits, FREQ:

Mw Mw single Wfamily Mw business (q) = logistic(0.7993-15.9030 x SPEND +

Use this model to make predictions for the following query instances:

9.5974 FREQ) (q) = logistic(3.6526+-0.5809 x SPEND -17.5886 x FREQ) (q) =

Mw Mw single Wfamily Mw business (q) = logistic(0.7993-15.9030 x SPEND + 9.5974 FREQ) (q) = logistic(3.6526+-0.5809 x SPEND -17.5886 x FREQ) (q) = logistic(4.6419+ 14.9401 x SPEND - 6.9457 FREQ)

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