What you will learn:

6A Constructing a bivariate scatterplot
6B Using a bivariate scatterplot
6C Pearson’s correlation coefficient
6D Line of best fit
6E Interpolation and extrapolation
6F Statistical investigation

Outcomes:

• 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.