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Would a 0.5 correlation be considered weak modest strong or very weak?
Wiki User
∙ 16y ago
It really depends a lot on the context. The Cohen scale, for example, puts a correlation of 0.5 right on the cusp of "medium/modest" (0.30-0.49) and "large/strong" (0.50-1.00). However these cutoff criteria are largely arbitrary and shouldn't be applied too strictly.
A correlation of 0.5 might be regarded as strong in some social science situations (e.g. where the measures are based on 5-point Likert scales) or weak in physical science situations where instrumentation can be extremely precise.
Wiki User
∙ 16y ago
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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.
What is an example of undefined correlation?
An undefined correlation is one in which the data would not plot with points making a vertical line.
Does the strength of correlation depend on the direction?
Absolutely not. The simplest way to demonstrate this is to consider a measure of agreement - disagreement. If we scored it so that "strongly agree" is 5 and "strongly disagree" is 1, we would get one value of the correlation. If we reverse-scored it, we would get exactly the same value, but with the opposite sign. The strength of the correlation is the same, but the direction of the relation has switched. Another consideration is the fact that the actual strength of the correlation is based on the square of its value. 0.20 squared is 0.04; 0.40 squared is 0.16. A correlation of 0.40 is four times as strong as a correlation of 0.20. But when you square something, you automatically lose the sign. The square of a negative number is positive. So by definition, correlations of the same size but different signs are equal in strength.
When you have a scatter plot and you have to choose a correlation I know Positive Negative and no correlation are options Is moderate correlation an option?
Yes. * A positive correlation is when the dependant variable increases as the independent one does. * A negative correlation is when the dependant variable decreases as the independent one increases. * Perfect correlation is when all the points lie along a straight line; no correlation is when the points lie all over the place. In calculating the correlation coefficient it can have a value between -1 and 1, with 0 indication no correlation and values between 0 and ±1 showing a greater correlation until ±1 which is perfect correlation. Moderate correlation would be one of these intermediate values, eg ±0.5, which shows the points are moderately related.
When you removed from the data set how would the correlation coefficient be affected?
If you remove certain data points from a dataset, the correlation coefficient may be affected depending on the nature of the relationship between the removed data points and the remaining data points. If the removed data points have a strong relationship with the remaining data, the correlation coefficient may change significantly. However, if the removed data points have a weak or no relationship with the remaining data, the impact on the correlation coefficient may be minimal.
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!
Is 1.10 a strong correlation?
No, The correlation can not be over 1. An example of a strong correlation would be .99
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.
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 a strong negative correlation coefficient mean?
The graph follows a very strong downward trend. Would have helped if you specified which correlation coefficient; there are different types.
Which correlation coefficient indicates the weakest relationship between variables?
Pearson's Product Moment Correlation Coefficient indicates how strong the relationship between variables is. A PMCC of zero or very close would mean a very weak correlation. A PMCC of around 1 means a strong correlation.
What would be considered traditional clothing in Israel?
Anything modest and conservative.
What correlation is stronger -1.00 or plus 1.00?
they are the same. +1.00 and -1.00 are the strongest correlations. If you have +.92 and -.92 then that's a strong correlation but if you have -.15 and +.15 then that would be a weak correlation. There for + 1 or - 1 makes no difference
Is 0.353 strong positive correlation?
1 would be the strongest possible. 0.353 seems to be on the weak side. Above 0.4 or 0.45 may be strong enough.
What would a correlation of 35 would be called?
An error! Correlation must be between -1 and 1.
How do you use modest in a sentence?
I would gladly tell you what a wonderful person I am but alas, I am too modest. But I am also modest for saying that.
What type of correlation on a graph would there be for the color of a persons hair and their weight?
There would be no definite correlation. It would just be a random correlation that would be all over the graph because there is no trend in hair color and weight. Your weight doesn't determine your hair color.
