Q: If the value of two variables decreases are they positively correlated?

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A positive correlation coefficient means that as the value of one variable increases, the value of the other variable increases; as one decreases the other decreases. A negative correlation coefficient indicates that as one variable increases, the other decreases, and vice-versa.

Explanatory (or independent) variables are variables such that changes in their value are thought to cause changes in the "dependent" variables.

the Y value decreases.

The value of the fraction increases.

If the relationship between two variables in a table is that of direct variation, then the unit rate or the constant of proportionality is determined by dividing any non-zero value of one of the variables by the corresponding value of the other variable.

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if two variables are positively related,it means that the two variables change in the same direction.that is,if the value of one of the variables increases,the value of the other variable too will increase.for example,if employment as an economic variable increases in a country,and price of goods too increases then we can say that these two variables(employment and price) are positively related

Skirt lengths and intelligence are randomly correlated having a correlation coefficient of zero to plus 0.15 ie knowing the measure of one does not predict the value of the other--they are independent variables. To say such and such are not correlated is to say you have not compared the variables. They may have identity with a value of plus one, or they may be inversely related having a value of negative one, or they may be randomly correlated with a value of zero--but to compare is to correlate.

The two variables involved are highly but not perfectly correlated. When the value of one of them rises the other falls, and vice versa.

In a direct relationship, as one variable increases, the other variable also increases. Conversely, as one variable decreases, the other variable decreases as well. The relationship between the two variables is positive and proportional.

A positive correlation coefficient means that as the value of one variable increases, the value of the other variable increases; as one decreases the other decreases. A negative correlation coefficient indicates that as one variable increases, the other decreases, and vice-versa.

When the value of money decreases (inflation)

An inverse proportion between two variables is when the value of one variable increases, the other decreases. Mathematically, this is shown as: x = k / yn where x and y are the two variables, and k and n are constants.

the value of variables is determined by the equation, discrete variables have absolute single value while the continuos have a range value

No, but eliminating variables is one of several ways to find the value of variables in a system of equations.

You need to give context for an answer. How are x and y correlated?

Independent variables are the input value of a function (usually x) and dependent variables are the output value of the function (usually y).

Explanatory (or independent) variables are variables such that changes in their value are thought to cause changes in the "dependent" variables.