Correlating data in Task 1

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Correlating data in Task 1

NOTE: This page relates to the Academic Module, not the General Training Module.
In previous pages we have looked at some of the language needed to describe a graph, chart or table for Task 1. However, it is common in Task I to have more than one set of data to describe. However, it is not sufficient to simply describe each set in turn – you should show the examiner that you know how the information correlates (the connection or effect they have on each other).
Look at the two graphs below. What correlation do they show?
correlating-data-a correlating-data-b
You should have identified that attendance fell as costs increased.
Here’s another example of more than one graph or chart in one Task 1 question. What correlation do you see here?
Correlating data in Task 1
This is a little less clear, but in 1990 roughly one third of people had private healthcare, but as the cost of healthcare as a proportion of wages rose, this fell to close to one quarter in 2000.
IMPORTANT NOTE: Although writing about correlations is important when presented with different sets of data, do not feel that you have to think of an explanation as to why they might be correlated. For example, in the graph above, you could refer to a correlation between percentage cost of health insurance and the number of people who had private insurance, but you are not expected to say anything like ‘This could be a result of an economic recession’.
Here is some language that you can use to correlate data:
a (X) appears to have a direct impact on (Y).
b A rise in (X) causes an attendant increase in (Y).
c There is an inverse relationship between (X) and (Y).
d There is a direct relationship between (X) and (Y).
e There is a direct correlation between (X) and (Y).
f An increase in (X) resulted in a decrease in (Y).
g Closely linked to (X), it can be seen that (Y)…
h As a result of the decline in (X), (Y)..

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