It enables you to show a relationship where an increase in one variable results in a decrease in the other.
When one variable is said to be dependent on another, it means that the value of the dependent variable is influenced or determined by changes in the other variable, known as the independent variable. For example, in a relationship where an increase in temperature (independent variable) leads to an increase in ice cream sales (dependent variable), ice cream sales vary based on the temperature. This relationship highlights causation or correlation between the two variables.
In an inverse relationship, when one variable decreases, the other increases. This means that as one variable moves in one direction, the other moves in the opposite direction. For example, in the case of supply and demand, if the price of a product decreases, the quantity demanded may increase, illustrating this inverse relationship.
dependent variable
A direct relationship in which two factors increase or decrease together is called a positive correlation. In this scenario, as one variable rises, the other variable also rises, and similarly, if one falls, the other falls as well. This relationship is often represented graphically with an upward-sloping line.
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.
When one variable is said to be dependent on another, it means that the value of the dependent variable is influenced or determined by changes in the other variable, known as the independent variable. For example, in a relationship where an increase in temperature (independent variable) leads to an increase in ice cream sales (dependent variable), ice cream sales vary based on the temperature. This relationship highlights causation or correlation between the two variables.
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.
Correlation
dependent variable
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.