Negative * positive = negative Positive * positive = positive Negative * negative = positive
Negative * positive = negative Positive * positive = positive Negative * negative = positive
A negative divided by a positive is negative. A negative divided by a negative is positive. A positive divided by a positive is positive. A positive divided by a negative is negative.
positive and a positive is a positive negative and a negative is a positive to answer your question: positive and a negative is a negative.
negative*negative=positive negative/positive=negative negative\negative=positve negative-positive=change the sign to a plus and then change the number after the sign and get your answer negative +positive=which ever numbr is bigger minus positive+positive=positive
Negative association.
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.
No. They are unsigned, therefore all representations are positive.
It can. Negative 2 minus negative 1 = negative 1. However, it sometimes might be positive. Negative 5 minus negative 16 = positive 11. If you have two equal negative variables, such as -a - -a, you will get -2a. -2a may still be positive though, if a is a negative number. An example of having two unequal negative numbers is -a - -b, which is -a + b. That may be positive or negative depending on what a and b are equal to.
Positive + Negative = Negative Negative + Negative = Positive Positive + Positive = Positive Negative + Positive = Negative
Negative * positive = negative Positive * positive = positive Negative * negative = positive
Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.Correlation is a measure of the degree to which two variables change together. Positive correlation means that the variables increase together and decrease together. Negative correlation means that one variable increases when the other decreases.Correlation does not imply causality.
If the two variables increase together and decrease together AND in a linear fashion, the correlation is positive. If one increases when the other decreases, again, in a linear fashion, the correlation is negative.
The rules for the sign (positive or negative) of the result of a multiplication is the same as division. For multiplication: Positive * Positive --> Positive Positive * Negative --> Negative Negative * Positive --> Negative Negative * Negative --> Positive For division: Positive / Positive --> Positive Positive / Negative --> Negative Negative / Positive --> Negative Negative / Negative --> Positive
Yes. Negative/negative = positive Postive/Positive = positive Negative/Positive - negative
Negative * positive = negative Positive * positive = positive Negative * negative = positive
A negative divided by a positive is negative. A negative divided by a negative is positive. A positive divided by a positive is positive. A positive divided by a negative is negative.