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Karl Pearson's r requires
ALinear relationship
BNormal distribution
CSame units for x and y
DIndependence of variables
Answer & Solution
Correct answer: A. Linear relationship
1. Pearson's r measures the strength of linear association.
2. If the relation is non-linear, r may understate or misrepresent the strength.
3. The other options are not requirements (units can differ, normality is not required).
4. So the key assumption is a linear relationship.
_Source: ICAI BoS Foundation Paper 3, Ch 17 'Correlation', p.4_
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