Greetings Friends!
I’m working on the Medical Insurance Project in the Data Science Career Path.
I’m running into a problem at Task 11.
I’ve changed the binary value of sex from 0 to 1.
Task 12 says I should have outputted a negative value for change_in_insurance_cost after completing Task 11; however, I received a positive value…
…and I told my vocational counsellor that I’d be done with the project by day’s end…
Can someone please help me figure out where I’m going wrong?
Here’s what my program looks like:
create the initial variables below
age = 28
sex = 0
bmi = 26.2
num_of_children = 3
smoker = 0
Add insurance estimate formula below
insurance_cost = 250 * age - 128 * sex + 270 * bmi + 425 * num_of_children + 24000 * smoker - 12500
Age Factor
age += 4
new_insurance_cost = 250 * age - 128 * sex + 370 * bmi + 425 * num_of_children + 24000 * smoker - 12500
print(“This person’s insurance cost is " + str(insurance_cost) + " dollars.”)
change_in_insurance_cost = new_insurance_cost - insurance_cost
print(“The change in cost of insurance after increasing the age by 4 years is " + str(change_in_insurance_cost) + " dollars.”)
BMI Factor
age = 28
bmi += 3.1
new_insurance_cost = 250 * age - 128 * sex + 370 * bmi + 425 * num_of_children + 24000 * smoker - 12500
change_in_insurance_cost = new_insurance_cost - insurance_cost
print(“The change in estimated insurance cost after increasing BMI by 3.1 is " + str(change_in_insurance_cost) + " dollars.”)
Male vs. Female Factor
bmi -= 3.1
sex = 1
new_insurance_cost = 250 * age - 128 * sex + 370 * bmi + 425 * num_of_children + 24000 * smoker - 12500
change_in_insurance_cost = new_insurance_cost - insurance_cost
print(“The change in estimated cost for being male instead of female is " + str(change_in_insurance_cost) + " dollars.”)
