Types of linear relationship

Correlation - Definition, Types, Coefficient, Positive, Negative & Examples | [email protected]

types of linear relationship

Coefficient of correlation, r, called the linear correlation coefficient, measures the strength and the direction of a linear relationship between two variables. Use a correlation coefficient to describe the direction and strength of a linear relationship. It ignores any other type of relationship, no matter how strong it is. A nonlinear relationship is a type of relationship between two entities in which or it might just be more complex than a linear relationship.

Types of Relationships

At the end of the lesson, test yourself with a quiz. What is a Linear Relationship? As its name suggests, a linear relationship is any equation that, when graphed, gives you a straight line. Linear relationships are beautifully simple in this way; if you don't get a straight line, you know you've either graphed it wrong or the equation is not a linear relationship. If you get a straight line and you've done everything correctly, you know it is a linear relationship.

How to Identify Linear Relationships There are only three criteria that equations must meet to qualify as a linear relationship. To be called a linear relationship, the equation must meet the following three items: The equation can have up to two variables, but it cannot have more than two variables.


All the variables in the equation are to the first power. None are squared or cubed or taken to any power. And also, none of the variables will be in the denominator. These are examples of equations that do not have a linear relationship.

You'll notice that these equations have variables that are squared and cubed. One equation has a variable in the denominator.

When graphed, none will yield a straight line. The equation must graph as a straight line. Examples of Linear Relationships There are equations in use in the real world today that meet all the criteria discussed above.

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Linear relationships are very common in our everyday life, even if we aren't consciously aware of them. Other pairs are negatively related, which means that as one goes down the other tends to go up. For example, gas mileage and the weight of a car are negatively related, because heavier cars tend to get lower mileage. Linear and Nonlinear Relationships Two variables may be related linearly.

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This means that a straight line can represent their relationship. For example, the amount of paint needed to paint a wall is linearly related to the area of the wall.

types of linear relationship

Other relationships cannot be represented by a straight line. These are called nonlinear. For example, the relationship between height and weight in humans is nonlinear, because doubling height usually more than doubles weight.

types of linear relationship

For example, a child may be three feet tall and weigh 50 pounds, but probably no six-foot tall adult weighs only pounds. A monotonic relationship is one where the relationship is either positive or negative at all levels of the variables.

A non-monotonic relationship is one where this is not so.

  • Linear Relationship: Definition & Examples

All of the examples above were monotonic.