Average High Temp Compared to Percent of People Over 65

With a R^2 value of 5.85923815797e-05, there is no related of average high tempature compared to age.



In [50]:

    
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt# Load data
from sklearn import linear_model
import statsmodels.api as sm

%matplotlib inline
city_data = pd.read_csv('USData_ClassProject1.csv')



In [55]:

    
y = city_data.PercentOver65
x = city_data.AvgHighTemp
x = sm.add_constant(x)

clf = linear_model.LinearRegression()
clf.fit(x,y)

y_hat = clf.predict(x)



In [70]:

    
plt.scatter(city_data.AvgHighTemp,city_data.PercentOver65,color="Black")
plt.plot(x.AvgHighTemp, y_hat, 'b', alpha=0.9)
plt.xlabel('AvgHighTemp')
plt.ylabel('PercentOver65')

print "R^2: ", clf.score(x,y)









    



 R^2:  5.85923815797e-05