2. Statistics Correlation:


This is the relationship between the two sets of data. We will distinguish between five different relationships. Most sets of data will fit into one of these five categories.


Strong Positive Correlation: Weak Positive Correlation:


Line of best-fit Variable 2


No Correlation: no line of best fit: scatter is too dispersed


Variable 2 Weak Negative Correlation:


Variable 2 Strong Negative Correlation:


Variable 2


PROJECT 2.5 Height and Shoe Size The correlation between weight and height in


Example 6 is a weak positive correlation. Variable 2


Work in pairs with a measuring tape or two metre sticks to collect the data. Measure the height of everyone in the class and ask them for their shoe size. Record the pairs of data and then plot them on a Scatter Graph. Put shoe size on the x-axis and height on the y-axis. When you have completed the plot, comment on the correlation.


The data you collect in this project is called Primary Data, because you collected it yourself. If you run out of time, you may need to get some sets of data from other pupils. This is known as Secondary Data as you did not collect it yourself.


27


Variable 1


Variable 1


Variable 1


Variable 1


Variable 1


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