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a) Construct a logistic regression model with two predictors for the riding mower example with po = -25-9382, p= 0.1109, B2-09638, where B &

a) Construct a logistic regression model with two predictors for the riding mower example with po = -25-9382, p= 0.1109, B2-09638, where B & B2 are for "Ixomx" axt "Lot_size" variables, respectively. b) using the logistic regression model with probability aufz off=0.75, classify the foll Contu 6 customers as 'owner o or non-owner': if P 20.75, then the case as an "ounct. Present the results in a classification matrix Customers 2 3 4 5 6 Income 60.0 64.8. 84.0 59.4 108.0 75 Lot size 18:4 21-6 176 16.0 17.6 19.6 Ownership. Owner Owner non-owner non-owner owner non-owner

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