- MA5-DAT-C-02 displays and interprets datasets involving bivariate data
📖 Prior Knowledge
| Content | Prior knowledge | Used for |
|---|---|---|
| Linear Relationships B | - interpreting gradient and intercept of linear graphs - finding equations of lines | - interpreting gradient and intercept of regression line. |
Identify and describe numerical datasets involving 2 variables.pdf
- Distinguish between situations involving 1-variable and 2-variable (bivariate) data and explain when each is needed
- Explain the difference between variables that have an association and variables that have a causal relationship
- Identify and describe the independent variable and dependent variable in relationships with possible cause and effect
Represent datasets involving 2 numerical variables, using a scatter plot and a line of best fit, by eye.pdf
- Gather data on a topic of interest involving 2 numerical variables
- Represent the data using a scatter plot
- Create a line of best fit, by eye, on an existing scatter plot
Interpret data involving 2 numerical variables, using graphical representations.pdf
- Describe informally the association between 2 numerical variables and apply terminology about form (linear), strength (strong, moderate or weak) and direction (positive or negative)
- Use the line of best fit, by eye, to make predictions between known data values (interpolation) and what might happen beyond known data values (extrapolation)
- Explain the limitations of the model when making predictions