# Linear Regression on Real Dataset

Learn to implement linear regression on a real data set with several features.

## Linear regression with several unknowns

So far, we’ve worked with examples of linear regression consisting of only one unknown. However, systems from real-life situations are typically complex, with several unknowns. In this lesson, we’ll work with a more involved example of a

## Context

The task at hand is to find a relationship that determines the amount of heating or cooling required by a building, given different *features* of the building like roof area, wall area, and glazing.

The data set consists of
$8$ different *features*, namely X1 to X8, of $768$ different buildings, along with their heating and cooling loads, Y1 and Y2, respectively. Below is a representation of the first five data records and the header information.

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