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Bivariate distributions
Recognize the distinction between independent and dependent variables.
7
Objectives
70
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49
Questions
90 min
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CambridgeIGCSEStatisticsBivariate distributions
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Bivariate distributions outcomes7 objectives
- Recognize the distinction between independent and dependent variables.
- Know and apply terms related to correlation, including identifying the correlation between variables from a scatter diagram or table: positive correlation, negative correlation, weak correlation, strong correlation, and no correlation.
- Create a scatter diagram by plotting bivariate data.
- Draw a line of best fit on a scatter diagram, using both visual estimation and the method of semi-averages, ensuring an even number of data pairs for the latter.
- Determine the equation of a line of best fit, expressed in the form y = mx + c.
- Utilize a line of best fit to estimate the value of one variable based on the value of the other, using the graph or its equation.
- Recognize the assumptions involved in using a line of best fit for estimation, including the limitations of extrapolation.
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