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A correlation near 0 indicates a weak linear association.
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∙ 15y ago
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What does the word aft mean normally?
Aft is a word commonly used when sailing to indicate near or around the stern of a boat or ship. It can also be used to indicate the tail of an aircraft.
How do you use correlation in a sentence?
The results of the two tests correlate to a high degree.
What is faunal correlation?
Faunal Cross-correlation is the use of animal bones found within an archaeological site to determine a relative date.
What is the difference between correlation and regression?
correlation we can do to find the strength of the variables. but regression helps to fit the best line
Which term is most nearly synonymous with the term correlation?
influence
What does a correlation near 1 or -1 indicate?
The closer the correlation is to 1 or -1, the more linear the data is
When are is close to -1 does it indicate a weak negative correlation?
No, it indicates an extremely strong positive correlation.
What does the size of a correlation coefficient indicate?
Size of variables
What does dispersion indicate about the data?
correlation which can be strong or weak
When there is no linear correlation the correlation coefficient equals?
0
When are is close to -1 does it indicate a strong negative correlation?
Yes.
What negative correlation indicate?
the negative sign on correlation just means that the slope of the Least Squares Regression Line is negative.
When the points on a graph tend to scatter randomly you say they indicate?
No Correlation
Is -.187 a positive or negative correlation?
It's a negative correlation because it is less than 0
Does a negative correlation coefficient indicate an inverse relationship?
Yes, but the relationship need not be causal.
When the points on a graph tend to scatter randomly we say that they indicate .?
That there is no correlation of the collected data.
What does a correlation coefficient represent?
The correlation coefficient for two variables is a measure of the degree to which the variables change together. The correlation coefficient ranges between -1 and +1. At +1, the two variables are in perfect agreement in the sense that any increase in one is matched by an increase in the other. An increase of twice as much in the first is accompanied by double the increase in the second. A correlation coefficient of -1 indicates that the two variables are in perfect opposition. The changes in the two variables are similar to when the correlation coefficient is +1, but this time an increase in one variable is accompanied by a decrease in the other. A correlation coefficient near 0 indicates that the two variables do not move in harmony. An increase in one is as likely to be accompanied by an increase in the other variable as a decrease. It is very very important to remember that a correlation coefficient does not indicate causality.
