In this example we will show how to predict future values using the information we have gathered in Python.
Source Code
from scipy import stats
x = [14.4, 16.5, 11.9, 15.4, 18.6, 22.2, 19.5, 25.3, 23.4, 18.2, 22.6, 17.4]
y = [225, 334, 192, 339, 411, 530, 418, 623, 551, 430, 452, 416]
slope, intercept, r_value, p_value, std_err = stats.linregress(x, y)
def myfunc(x):
return intercept + slope * x
sale = myfunc(20)
print(sale)
Output:
446.8446415387236