3.7 Correlation and regression
S7 Correlation
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Additional information |
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S7.1 |
recognising when pairs of data are uncorrelated, correlated, strongly correlated, positively correlated and negatively correlated |
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S7.2 |
appreciating that correlation does not necessarily imply causation |
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S7.3 |
understanding the idea of an outlier |
identifying and understanding outliers and make decisions whether or not to include them when drawing a line of best fit |
S8 The product moment correlation coefficient (pmcc)
Content |
Additional information |
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S8.1 |
understanding that the strength of correlation is given by the pmcc |
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S8.2 |
understanding that pmcc always has a value in the range from – 1 to + 1 |
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S8.3 |
appreciating the significance of a positive, zero or negative value of pmcc in terms of correlation of data |
S9 Regression lines
Content |
Additional information |
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S9.1 |
the plotting of data pairs on scatter diagrams and the drawing, by eye, of a line of best fit through the mean point |
the idea of residuals will not be required |
S9.2 |
understanding the concept of a regression line |
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S9.3 |
plotting a regression line from its equation |
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S9.4 |
using interpolation with regression lines to make predictions |
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S9.5 |
understanding the potential problems of extrapolation |
S10 Calculations
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Additional information |
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S10.1 |
where raw data is given, students will be expected to use a calculator to calculate the pmcc and the equation of the regression line |
calculations from grouped data will not be required |