Predicting Life Expectancy-Solution

[otles2]

In the following solution, y equation does not reflect the printed statements

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Use the linear equation you’ve just created to predict life expectancy in Germany for every year between 2001 and 2016. How accurate are your answers? If you worked for a pension scheme would you trust your answers to predict the future costs for paying pensioners?

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Given solution --
df = pd.read_csv('../data/gapminder-life-expectancy.csv',index_col="Life expectancy")
for x in range(2001,2017):
y = 0.215621719457 * x - 351.935837103
real = df.loc['Germany', str(x)]
print(x, "Predicted", y, "Real", real, "Difference", y-real)

y equation should be
y=0.212219909502 * x - 346.784909502

df = pd.read_csv('../data/gapminder-life-expectancy.csv',index_col="Life expectancy")
for x in range(2001,2017):
y=0.212219909502 * x - 346.784909502
real = df.loc['Germany', str(x)]
print(x, "Predicted", y, "Real", real, "Difference", y-real)

please review, thanks

Zekai Otles

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