Bivariate Data Analysis
Contents
• Construct bivariate scatterplots to identify patterns in data.
• Use bivariate scatterplots to describe the patterns, features and associations of bivariate
datasets.
• Identify the dependent and independent variables within bivariate datasets.
• Calculate and interpret Pearson’s correlation coefficient to quantify the strength of a linear
association of a sample.
• Model a linear association by fitting an appropriate line of best fit to a scatterplot and
using it to describe patterns and associations.
• Model a linear association by fitting a least-squares regression line to the data.
• Use an appropriate line of best fit to make predictions by either interpolation or
extrapolation.
• Implement the statistical investigation process that involves two numerical variables.
Introduction to Bivariate Scatterplots 1
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Introduction to Bivariate Scatterplots 2
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