Question: 3. A multivariate logistic regression model has been built to predict the propensity of shoppers to perform a repeat purchase of a free gift that

3. A multivariate logistic regression model has been built to predict the propensity of shoppers to perform a repeat purchase of a free gift that they are given. The descriptive features used by the model are the age of the customer, the socio-economic band to which the customer belongs

(a,

b, or c), the average amount of money the customer spends on each visit to the shop, and the average number of visits the customer makes to the shop per week. This model is being used by the marketing department to determine who should be given the free gift. The weights in the trained model are shown in the table below.

Feature Intercept (w[0]) Weight -3.82398 AGE -0.02990 SOCIO ECONOMIC BAND B -0.09089

Use this model to make predictions for each of the following query instances

SOCIO ECONOMIC BAND C -0.19558 SHOP VALUE 0.02999 SHOP FREQUENCY 0.74572

Feature Intercept (w[0]) Weight -3.82398 AGE -0.02990 SOCIO ECONOMIC BAND B -0.09089 SOCIO ECONOMIC BAND C -0.19558 SHOP VALUE 0.02999 SHOP FREQUENCY 0.74572

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