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What does a correlation coefficient value of negative two indicate?
Wiki User
∙ 10y ago
A mistake in calculations! ;)
If the calculations are done correctly then the sample correlation must lie within the closed interval [-1, 1].
Wiki User
∙ 10y ago
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What is the correlation coefficient of -2?
A serious error. The maximum magnitude for a correlation coefficient is 1.The Correlation coefficient is lies between -1 to 1 if it is 0 mean there is no correlation between them. Here they are given less than -1 value so it is not a value of correlation coefficient.
How change of origin or scale effect value of co-efficient of co-relation?
The correlation coefficient is unaffected by change of origin or scale unless one of the sets of variables is multiplied by a negative term, in which case the correlation coefficient will become negative.
Why the value of correlation coefficient is always between -1 and 1?
Why the value of correlation coefficient is always between -1 and 1?
What is the value of correlation coefficient r for perfect positive correlation?
1.
Does the units affect the correlation?
No. The units of the two variables in a correlation will not change the value of the correlation coefficient.
What is the range of correlation coefficient and what does its value tell?
The product-moment correlation coefficient or PMCC should have a value between -1 and 1. A positive value shows a positive linear correlation, and a negative value shows a negative linear correlation. At zero, there is no linear correlation, and the correlation becomes stronger as the value moves further from 0.
What is the maximum and minimum value of the correlation coefficient?
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative correlation).
What is the correlation coefficient of -2?
A serious error. The maximum magnitude for a correlation coefficient is 1.The Correlation coefficient is lies between -1 to 1 if it is 0 mean there is no correlation between them. Here they are given less than -1 value so it is not a value of correlation coefficient.
Why the value of correlation coefficient is always between -1 and 1?
Why the value of correlation coefficient is always between -1 and 1?
How change of origin or scale effect value of co-efficient of co-relation?
The correlation coefficient is unaffected by change of origin or scale unless one of the sets of variables is multiplied by a negative term, in which case the correlation coefficient will become negative.
What does it mean for variables to show correlation?
A positive correlation coefficient means that as the value of one variable increases, the value of the other variable increases; as one decreases the other decreases. A negative correlation coefficient indicates that as one variable increases, the other decreases, and vice-versa.
Value of the sample correlation coefficient calculator?
It will be invaluable if (when) you need to calculate sample correlation coefficient, but otherwise, it has pretty much no value.
What is the value of correlation coefficient r for perfect positive correlation?
1.
Does the units affect the correlation?
No. The units of the two variables in a correlation will not change the value of the correlation coefficient.
Correlation coefficient value of 0.00 indicates two variables are not related?
If the correlation coefficient is 0, then the two tings vary separately. They are not related.
Can the Value of Pearson correlation coefficient be -1?
Yes.The Pearson correlation coefficient ranges from -1 to 1 inclusive.The sign of the coefficient tells you the kind of correlation:positive: as one variable increases the other also increases (like y = x)negative: as one variable increases the other decreases (like y = -x)0 means no correlation |r| = 1 means perfect correlation
What value or benefit would a researcher gain by calculating a correlation coeffcient rather than simply describing the relationship as a positive correlation or a negative correlation?
The correlation coefficient gives a measure of the degree to which changes in the variables are related. However, the relationship need not be causal.
