Polynomial regression

Term

Jump to a topic

See every item in the sequence

Definition

Fits a curve (a polynomial) to data where the relationship is not a straight line, to predict a numeric value.

Example: Predict plant growth that speeds up then slows down.

Found in: syllabus, course specifications, school notes.

Where you'll use it in the test

Syllabus area: Y12 Software Automation.

Question types it can appear in

Short answer: Define, outline or explain it and tie it to the scenario.
Multiple choice: Pick the option that matches the definition or example.
Python: Write or complete it in the online Python tool.

How to use it

A model sentence

General advice, built from the definition and example above

“Fits a curve (a polynomial) to data where the relationship is not a straight line, to predict a numeric value.” Then apply it: Predict plant growth that speeds up then slows down.

In a short answer, give the definition in your own words first, then tie it to the situation in the question. Do not copy the example above unless it fits the scenario.

Command words used with it

General advice

No linked question shows the command word for this term. Across the past short answer and python questions in this bank the words used most are: Explain, Outline, Describe, Compare, Classify, Analyse. Check the actual word in your question.

Go deeper

Flashcard: Polynomial regression in Software Automation (Year 12) · study that set
Memorise: Decision trees
Notes: Design, develop and apply ML regression models using an OOP to predict numeric values,… (Software Automation (Year 12))
Master answer: hsc2025-q12 (2 marks, multi-select (true/false check boxes)) (Master model answers: Software Automation)
Notes: Regression models and KNN (Software Automation (Year 12))
Notes: Programming ML in an OOP language (example only) (Software Automation (Year 12))
Full term page: every question, note and marking comment for Polynomial regression

Check yourself

Explain “Polynomial regression” in one sentence, give an example, and name a question type that could test it.

Reveal the answer

Fits a curve (a polynomial) to data where the relationship is not a straight line, to predict a numeric value.

Example: Predict plant growth that speeds up then slows down.

Could be tested as: Short answer, Multiple choice, Python.

Quick multiple choice

Polynomial regression is useful when:

There are no numeric inputs
The outcome must be yes or no
The relationship between the variables is curved rather than a straight line
The data is unlabelled

Show the answer

Polynomial regression fits a curve (x squared, x cubed...) to numeric data; it is still used to predict numeric values.

Source: original (written for this study pack; not a NESA question). Open it in the multiple-choice bank.