Question: Problem 1 : In the linear regression example, we fit the following model data = insurance ) . fit ( ) ins _ model.summary (

Problem 1: In the linear regression example, we fit the following model
data = insurance). fit()
ins_model.summary ()
and get the summary shown below:
Based on the model results, answer the following questions.
[Note: even if some coefficients are not significant, we keep them in our prediction using
this model.]
a) If a male is living in the Southwest region, what would be the predicted increase
in medical expenses if his BMI increases by one unit?
b) If a female is living in the Northeast region, what would be the predicted increase
in medical expenses if her BMI increases by one unit?
c) How much of an increase in medical expenses should be expected if an individual
adopts a child next year?
 Problem 1: In the linear regression example, we fit the following

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