Linear Regression, Statistical Analysis, Data Science, Machine Learning, Data Analysis.
obvious pattern and no randomness. Checking the 3rd assumption: The residuals are homoscedastic (not heteroscedastic) First, let’s define what homoscedastic means? It refers to the variance of the error to be constant on all data points of X. For example, an X value of 7–9 should not have a higher