In any (well designed) experiment, there is one variable that the experimenter can control that affects one (or more) variables. The variable that the experimenter changes is called the independent variable. On the other hand, the other variable is dependent on the other for its change. Therefore, it is the "dependent variable."
If there is one variable. Then put each variable equal to zero and then solve for the other variable.
The general idea is to solve one of the equations for one variable - in terms of the other variable or variables. Then you can substitute the entire expression into another equation or other equations; as a result, if it works you should end up having one less equation, with one less variable.
linearity is defined as the situation when all variable exponents are equal to one
decrease
It provides information on the rate of change of one variable with respect to the other variable(s).
a DEPENDENT variable is one of the two variables in a relationship.its value depends on the other variable witch is called the independent variable.the INDEPENDENT variable is one of the two variables in a relationship . its value determines the value of the other variable called the independent variable.
A negative relationship, also known as an inverse relationship, occurs when one variable decreases while the other variable increases. This means that as one variable changes in one direction, the other variable changes in the opposite direction.
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.
This is called a negative correlation. It means that as one variable increases, the other variable decreases, and vice versa.
In any (well designed) experiment, there is one variable that the experimenter can control that affects one (or more) variables. The variable that the experimenter changes is called the independent variable. On the other hand, the other variable is dependent on the other for its change. Therefore, it is the "dependent variable."
No correlation.
As one variable increases the other variable decreases.
As one variable increases the other variable decreases.
As one variable increases the other variable decreases.
As one variable increases the other variable decreases.
As one variable increases the other variable decreases.