Identifying and describing associations between two numerical variables
General Mathematics · Unit 3 — Bivariate data and time series analysis, sequences and Earth geometry · Bivariate data analysis 1
Learning objectives (6)
LO-1Calculate Pearson’s correlation coefficient, 𝑟, from raw data using technology, and interpret it to quantify the strength of a linear association.LO-2Calculate the coefficient of determination, 𝑅2, from raw data using technology, and interpret it to assess the strength of a linear association in terms of the explained variation.LO-3Construct and use a scatterplot to identify the association between two numerical variables.LO-4Describe an association between two numerical variables in terms of direction (positive/negative), form (linear/non-linear) and strength (strong/moderate/weak).LO-5Identify the explanatory variable and the response variable.LO-6Use the correlation coefficient, 𝑟, to determine the coefficient of determination, 𝑅2, and vice versa.
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