a positive correlation between the two variables. This means that as one variable changes in a particular direction (either increasing or decreasing), the other variable tends to change in the same direction. Positive correlations suggest a direct relationship, where the variables move together, indicating potential interdependence or similar underlying factors influencing both.
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.
decreases
In an inverse relationship, when one variable increases, the other variable decreases. This means that as one variable gains value, the other loses value in a way that the product of the two variables remains constant. For example, if variable X increases, variable Y will decrease proportionately to maintain that constant relationship. This type of relationship is often represented mathematically as Y = k/X, where k is a constant.
decrease
A negative slope indicates that as one variable increases, the other variable decreases. In a graphical representation, this is shown as a line that descends from left to right. It often signifies an inverse relationship between the two variables being analyzed. For example, in economics, a negative slope might illustrate how an increase in price leads to a decrease in demand.
The break-even point increases when fixed costs increase or selling price decreases. It decreases when fixed costs decrease or selling price increases. Changes in variable costs or sales volume can also impact the break-even point.
Correlation
This is called a negative correlation. It means that as one variable increases, the other variable decreases, 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.
dependent variable improves (or increases) as independent variable increases
The contribution ratio is the relationship between total sales revenue and total variable costs. If the components change, such as an increase in sales revenue or a decrease in variable costs, the contribution ratio will increase. Conversely, if sales revenue decreases or variable costs increase, the contribution ratio will decrease.
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.
The other can increase, decrease or stay the same. It depends on the relationship between the two variables.
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.