meyers hw 8.ipynb

Kernel: SageMath 8.2

Problem 5

import numpy as np

#find least square line, parabola and cubic
# find RMSE
# use each to evaluate for 2010 productio level

#same as above
#eastimate year 1950

price = np.array([[.59],[.8],[.95],[.45],[.79],[.99],[.90],[.65],[.79],[.69],[.79],[.49],[1.09],[.95],[.79],[.65],[.45],[.60],[.89],[.79],[.99],[.85]])

sales = np.array([[3980],[2200],[1850],[6100],[2100],[1700],[2000],[4200],[2440],[3300],[2300],[6000],[1190],[1960],[2760],[4430],[6960],[4160],[1990],[2860],[1920],[2160]])

fit1 = np.linalg.lstsq(sales,price)



ones =np.array([[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1],[1]])

# print(A)

Jupyter Kernel terminated: This might be caused by running out of memory or hitting a bug in some library (e.g., forking too many processes, trying to access invalid memory, etc.). Consider restarting or upgrading your project or running the relevant code directly in a terminal to track down the cause, as explained here.