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Yes, a correlation of -0.98 indicates a very strong negative association between the two variables. This means that as one variable increases, the other decreases almost perfectly in a linear manner. Such a high absolute value of correlation suggests that the relationship is not only strong but also consistent.
What else can I help you with?
What does a correlation coefficient of zero indicates?
A coefficient of zero means there is no correlation between two variables. A coefficient of -1 indicates strong negative correlation, while +1 suggests strong positive correlation.
What is the purpose of a correlation analysis?
The purpose of correlation analysis is to check the association between two items. This can be useful in determining accuracy.
Is 1.00 a strong correlation?
A perfect positive correlation would be exactly 1; 1.00 means "0.995 or higher", which is quite strong indeed.
When are is close to -1 does it indicate a weak negative correlation?
No, it indicates an extremely strong positive correlation.
A statistical measure of the association between two variables is called a?
Correlation Coefficient.
What would a strong association but weak correlation look like?
If the form is nonlinear (like if the data is in the shape of a parabola) then there could be a strong association and weak correlation.
What does the sign of the correlation coefficient tell you about the association?
Positive correlation = positive association Negative correlation = negative association
Is 1.10 a strong correlation?
No, The correlation can not be over 1. An example of a strong correlation would be .99
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).
Is the correlation coefficient r a resistant measure of association?
no
What does a correlation near 0 indicate?
A correlation near 0 indicates a weak linear association.
What does a correlation coefficient of zero indicates?
A coefficient of zero means there is no correlation between two variables. A coefficient of -1 indicates strong negative correlation, while +1 suggests strong positive correlation.
Is the Correlation Coefficient of 35 strong?
The correlation coefficient must lie between -1 and +1 and so a correlation coefficient of 35 is a strong indication of a calculation error. If you meant 0.35, then it is a weak correlation.
What is considered a strong correlation?
"Strong" is very much a subjective term. Not only that, but it depends on expectations. In economics I would consider 70% to be a strong correlation, but for physics I would want more than 95% before I called the correlation strong!
What is the purpose of a correlation analysis?
The purpose of correlation analysis is to check the association between two items. This can be useful in determining accuracy.
Is 0.17 the strong correlation coefficients?
No.
What does correlation mean in maths?
Correlation is a statistical measure of the linear association between two variables. It is important to remember that correlation does not mean causation and also that the absence of correlation does not mean the two variables are unrelated.
