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Social & Preventive Medicine Epidemiology bfa632ef

The correlation coefficient between two variables x and y of -0.99 shows

A
No association
B
Weak association
C
Strong association
D
None of the above
High-Yield Explanation
Correlation coefficients are used in statistics to measure how strong a relationship is between two variables. Pearson's correlation is a correlation coefficient commonly used in linear regression. Correlation coefficient formulas are used to find how strong a relationship is between data. The formulas return a value between -1 and 1, where:1 indicates a strong positive relationship.-1 indicates a strong negative relationship.A result of zero indicates no relationship at all

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