Difference between negative and inverse correlation?

Question

Is there such a thing? Everywhere I look it says it is the same, but the question that I have to answer has both answers possible, and I can only choose one.

Answer 1

when you say "negative" what that means is the opposite sign of the number. For example, the negative of -6 = 6 and the negative of 4.5= -4.5

when you say Inverse correlation, you're talking about a relationship where you simply flip the fraction. for example... 3/4 becomes 4/3, and 5 becomes 1/5.

Answer 2

Inverse Correlation

Answer 3

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RE:
Difference between negative and inverse correlation?
Is there such a thing? Everywhere I look it says it is the same, but the question that I have to answer has both answers possible, and I can only choose one.

Answer 4

It depends on what subject you're referring to. In psychology, and generally whenever you're referring to a graphical representation of results, an "inverse correlation" and a "negative correlation" have the same meaning (variable A increases as B decreases, and vice versa). Therefore it would be correct to say that two variables are negatively correlated, and also that they are inversely correlated.

Answer 5

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Baseknock - r is correlation and can be positive or negative. If you want an analogy, consider it like the slope of a line. If the slope is negative, the line slopes downward and the relationship between the two variables (x & y) are inverse. That is, as x increases, y will decrease. If r is positive, then the line slopes upward and as x increases so does y. Now if x equals or is close to zero, there is no significant relationship between the two variables ... as x increases y does not change or fluctuates between positive and negative changes. The closer r is to +1 or -1, the stronger the relationship between x and y. r squared is obviously the "square" of r. It is ALWAYS POSITIVE since r squared for a positive or negative number will always be positive. r squared tells you what percent of the independent variable (x) "explains" what happened to the dependent variable. The closer r squared is to 1, the better x explains y. Hope that helped.

Answer 6

Negative correlation means that if quantity x increases, y tends to decrease. Inverse correlation means - in my interpretation, at least - that you want a sample with same distribution and parameters - mu, sigma, etc - as the original data whose correlation is known. Data points that could have come from the original.

Answer 7

Inverse correlation and negative correlation are the exact same thing.
Maybe you could present the source of the "question you have to answer".

Answer 8

they mean the same thing, but "negative" presents the correlation QUANTITATIVELY while "inverse" presents the correlation QUALITATIVELY

Answer 9

Would be interested in knowing more about this too