Q: If I increase one variable what will happen to the other variable?

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It enables you to show a relationship where an increase in one variable results in a decrease in the other.

dependent variable

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. That condition is necessary but not sufficient.No. That condition is necessary but not sufficient.No. That condition is necessary but not sufficient.No. That condition is necessary but not sufficient.

If there is one variable. Then put each variable equal to zero and then solve for the other variable.

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decreases

A dependent variable increases when an independent variable increases in a direct relationship. This means that as one variable increases, the other variable also increases.

The other can increase, decrease or stay the same. It depends on the relationship between the two variables.

It enables you to show a relationship where an increase in one variable results in a decrease in the other.

A negative correlation is a measure of the linear component of a relationship where one variable increase as the other decrease.

One variable can affect another through a causal relationship, meaning changes in one variable directly cause changes in the other. This relationship can be positive (both variables increase or decrease together) or negative (one variable increases while the other decreases). The strength and direction of this effect can be quantified through statistical analysis.

An inversely proportional relationship shows that as one variable of an equation increases, the other will decrease. A directly proportional relationship shows that as one variable increases, the other increases as well.

The volume of gas

Under Law of variable proportion: only one variable input varies all other variable kept constant. Under Law of Return to Scale: All the variable inputs varies except the enterprise. Law of variable proportion is for short period; law of return to scale is for long period. Law of variable proportion shows the relationship if one variable input increase (eg: Labour) by keeping all other variable constant; total product and marginal product increase upto a certain point after that it will increase at a diminishing rate. it shows in three stage first increase then constant and then decrease. Law of return to scale shows the relationship between inputs and output at three different stages: 1. output increase more than inputs, 2. output and input are constant, 3. output is less than proportionate input.

dependent variable

A positive correlation between two variables means that there is a direct correlation between the variables. As one variable increases, the other variable will also increase.

The law of variable proportion states that as one input is increased while keeping other inputs constant, the output will eventually decrease. This can lead to changes in the cost curve by affecting the cost of production as more or less of a variable input is used, impacting both marginal and average cost.