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A negative correlation is when you compare 2 sets of data on a line graph (e.g. scores in a French test and scores in an English test), the higher one thing is, the lower the other is (e.g. someone might score 98% on the French test but only 12% on the English test (or visa versa)). A positive correlation is the other way around. A weak correlation is when there is a lot of deviation from the line of best fit (there will always be one with correlations as a line of best fit shows correlations after all) whereas with a strong correlation, there is little deviation.
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What negative correlation indicate?
the negative sign on correlation just means that the slope of the Least Squares Regression Line is negative.
What does a correlation factor of -0.95 mean?
This means that the correlation is negative but still significant.
What shows a correlation which may be positive or negative between two sets of data?
I believe you are asking how to identify a positive or negative correlation between two variables, for which you have data. I'll call these variables x and y. Of course, you can always calculate the correlation coefficient, but you can see the correlation from a graph. An x-y graph that shows a positive trend (slope positive) indicates a positive correlation. An x-y graph that shows a negative trend (slope negative) indicates a negative correlation.
What is the correlation on a graph?
a correlation on a graph is when the line of best fit is positive, negative or none.
If two variables have a negative linear correlation is the slope of the least squares negative?
Negative
