CS250: Python for Data Science

Follow this example for more practice with linear regression implementation. Like the previous example, by construction, data is generated having a linear relationship. However, notice that the data generation technique is quite different from the previous example, as numpy methods are used directly to generate random arrays. In addition, this example multiplies the slope by a small amount of random noise (rather than adding noise to the linear model as is usually assumed in the linear regression derivation).