Linear Regression Is Actually a Projection Problem, Part 1: The Geometric Intuition

Summary

Linear regression is often seen as a mathematical model, but it is actually a projection problem.

What This Means

The article explains that linear regression can be visualized as the projection of data points onto a line that provides the best fit for outcomes. This geometric intuition offers a clearer understanding of how regression models function and can be applied.

Importance for BI Professionals

For BI professionals, grasping that linear regression is not just a statistical tool but also a geometric data interpretation method is crucial. This perspective can enhance their evaluation of competing technologies and models, such as decision trees and neural networks, by emphasizing how data is projected in higher dimensions.

Key Takeaway

BI professionals should integrate the geometric aspects of regression models into their analyses. This enables deeper insights and more informed decision-making based on data projections.