The graph below includes the results of a linear regression using this data. (For example, the client identified with the triangle in the graph has a BMI of 30.36 and has cost the insurance company $62,592 over the previous 5 years.) Males Smokers, aged 40 to 64 70000 _. 60000 'k l. E '1' 40000 30000 y = 1487): - 9399.7 R2 = 0.6501 20000 Insurance Charges ($5 H 8 O O O 18 23 28 33 38 43 BMI Interpret the value of the intercept of the regression line in the context of this