Distinguish between situations involving one variable data and bivariate data and explain when each is needed
Explain the difference between variables that show correlation and those that have a causal relationship
Identify the independent and dependent variables within a bivariate dataset where appropriate
Analyse relationships between independent and dependent variables that may be described as causal
Scatter plots and lines of best fit
Represent a bivariate dataset using a scatter plot
Create a line of best fit on a scatter plot for a bivariate dataset, by eye and with digital tools
Describe the form of a dataset as linear or non-linear based on the association between two variables
Describe the strength of a linear relationship between two variables as strong, moderate or weak, and its direction as positive or negative
Determine and interpret the intercept and gradient of the line of best fit from a given graph to form an equation of the line
Calculate and interpret Pearson’s correlation coefficient (r) for a bivariate dataset using a scientific calculator to quantify the strength of a linear association between the two variables
Determine the equation of the least-squares regression line for a bivariate dataset using a scientific calculator
Use a spreadsheet to construct a scatter plot and the least-squares regression line for a bivariate dataset
Examine lines of best fit to make predictions and recognise limitations of interpolation and extrapolation for bivariate datasets within a variety of contexts