A paper concluded that there was a correlation between refined
sugar consumption (calories per person per day) and annual rate of
major depression (cases per 100 people) based on data from 6
countries. The following data were read from a graph that appeared
in the paper. Compute the correlation coefficient for this data
set. (Give the answer to three decimal places.)
r =
Country | Sugar Consumption |
Depression Rate |
Korea | 150 | 2.4 |
United States | 290 | 2.9 |
France | 360 | 4.5 |
Germany | 375 | 5.1 |
Canada | 390 | 5.3 |
New Zealand | 490 | 5.7 |
Answer :
Given data is :
Sample size n = 6
Assume Sugar consumption =X
and Depression rate = Y
Country | Sugar consumption(X) | Depression rate(Y) | |||
Korea | 150 | 2.4 | 22500 | 5.76 | 360 |
United states | 290 | 2.9 | 84100 | 8.41 | 841 |
France | 360 | 4.5 | 129600 | 20.25 | 1620 |
Germany | 375 | 5.1 | 140625 | 26.01 | 1912.5 |
Canada | 390 | 5.3 | 152100 | 28.09 | 2067 |
New zealand | 490 | 5.7 | 240100 | 32.49 | 2793 |
Formula for Correalation coefficient r is :
r =
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Correlation coefficient r = 0.933
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