This is part of the HSC Mathematics Advanced course under the topic Statistical Analysis: Bivariate data analysis.
Here we will learn to construct a bivariate scatterplot to identify patterns in the data that suggest the presence of an association.
Now let’s use bivariate scatterplots (constructing them where needed), to describe the patterns, features and associations of bivariate datasets, justifying any conclusions.
- Describe bivariate datasets in terms of form (linear/non-linear) and in the case of linear, also the direction (positive/negative) and strength of association (strong/moderate/weak)
- Identify the dependent and independent variables within bivariate datasets where appropriate
- Describe and interpret a variety of bivariate datasets involving two numerical variables using real-world examples in the media or those freely available from government or business datasets
