banganX
2021-02-20
svartmaleJ
Skilled2021-02-21Added 92 answers
To assess the degree of association between quantitative variables, correlation analysis is used.
Whether the data points follow a linear pattern or some other complex curves depends on the association's nature. If it seems that a line would adequately summarize the general trend in the data, then do so. The relationship between the two variables is thus linear.
Direction:
The direction is positive if the above average values of one variable tend to match the above average values of another variable. The direction is negative if the variable's below average values frequently match the variable's above average values.
Strength:
If all the points are somewhat near to the straight line, the relationship is considered to be strong. If all of the data points are far from the straight line, it is considered to be weak, and if some of the data points are somewhat near to the straight line, it is said to be moderate.
Correlation value lies between -1 to +1.
-1 indicates strong negative relationship between the two variables.
0 indicates no relationship between the two variables.
+1 indicates strong Positive relationship between the two variables.
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