Why Do We Linearize Data?

Graph Linearization
When data sets are more or less linear, it makes it easy to identify and understand the relationship between variables. You can eyeball a line, or use some line of best fit to make the model between variables.

Why is it important to linearize equations?

Linearization of a non-linear equation allows the use of linear equations to estimate a point of a non-linear function, the further from that point the greater the likelihood of error. ... A matrix of small simple equations is easier, and faster, to solve than a matrix of polynomials.

What is the purpose of linearization of data?

So, if we are confronted with non-linear (curved) data then our goal is to convert the data to a linear (straight) form that can be easily analyzed. This process is called linearization.

Maya Lin-Takahashi

Maya Lin-Takahashi

Consumer Tech & Gadget Reviewer

Maya is a hardware enthusiast who tests and reviews smart home devices, smartphones, wearables, and audio gear. She focuses on practical consumer value and build quality.