BUSINESS ADMINISTRATION
RESEARCH METHODOLOGY
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Positive correlation between variables
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Negative correlation between variables
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No Correlation
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Detailed explanation-1: -The value of the number indicates the strengthof the relationship: r = 0 means there is no correlation. r = 1 means there is perfect positive correlation. r =-1 means there is a perfect negative correlation.
Detailed explanation-2: -A correlation coefficient of zero indicates that no linear relationship exists between two continuous variables, and a correlation coefficient of −1 or +1 indicates a perfect linear relationship. The strength of relationship can be anywhere between −1 and +1.
Detailed explanation-3: -r > 0 indicates a positive association. r < 0 indicates a negative association. Values of r near 0 indicate a very weak linear relationship. The strength of the linear relationship increases as r moves away from 0 toward-1 or 1.