# Find the slope and intercept of the best fit line

slope, intercept = np.polyfit(data.Size, data.Price, 1)

print(slope, intercept)

# Create a list of values in the best fit line

line_values = [slope * v + intercept for v in data.Size]

#print(line_values)

# Plot the best fit line over the actual values

plt.plot(data.Size, data.Price, 'b.')

#plt.show()

plt.plot(data.Size, line_values, 'r')

plt.title("full data")

plt.show()