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Mathematics K–12

Correlation – Year 12 – Mathematics Standard

This program of learning addresses content from the focus area of Bivariate data analysis.

Syllabus

Syllabus outcomes and content descriptors from Mathematics Standard 11–12 Syllabus (2024) © NSW Education Standards Authority (NESA) for and on behalf of the Crown in right of the State of New South Wales, 2024.

Unit 1 – correlation

A 9-lesson unit for Year 12 with resources.

The lessons and sequences in this program of learning are designed to allow students to investigate bivariate datasets, focusing on the distinction between one-variable and bivariate data and on the relationship between independent and dependent variables.

Students will learn to identify correlation compared to causation, represent bivariate data using scatter plots and create lines of best fit.

Introduction

Correlation (DOCX 5.3 MB)

Lesson 1 – variables and scatter plots

Lesson 2 – creating scatter plots using spreadsheets

Lesson 3 – formalising correlation

Lesson 4 – Pearson's correlation coefficient

Lesson 5 – creating and using the line of best fit by hand

Lesson 6 – finding and using the equation of the line of best fit

Lesson 7 – interpreting the equation of the line of best fit

Lesson 8 – least squares regression line

Lesson 9 – modelling bivariate data using a spreadsheet

Mathematics Standard 11–12 units and assessments (2024)

Sample units and assessments to support teachers of Years 11–12 implementing the Mathematics Standard 11–12 Syllabus (2024).

Category:

  • Mathematics Standard 1
  • Mathematics Standard 2
  • Unit

Business Unit:

  • Curriculum
Page details

Last modified date
03/07/2026
Business unit contact email
mrd@det.nsw.edu.au
Executive director
Megan Kelly
Executive director’s business unit
Teaching Learning&Student Wellbeing
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