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2.01 Bivariate data and line of best fit

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Outcomes

3.1.2.3

calculate and interpret the correlation coefficient (𝑟) to quantify the strength of a linear association using Pearson’s correlation coefficient, where covariance and standard deviation are determined, using appropriate technology

3.1.3.3

model a linear relationship by fitting a least-squares line to the data

3.1.3.5

interpret the intercept and slope of the fitted line

3.1.3.6

use, not calculate, the coefficient of determination (R2) to assess the strength of a linear association in terms of the explained variation

3.1.4.3

solve practical problems by identifying, analysing and describing associations between two categorical variables or between two numerical variables.

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