Noise and Batch Size in Linear Regression

Using a linear regression, I find that a batch size of 32 or larger works best in tensorflow.

I created a Jupyter notebook for linear regression using various data sizes, noise levels and batch sizes. Using a larger batch size decreases processing time and seems to improve the parameter search process. It is available here or viewed online at GitHub.