In psychology, correlation is the degree to which two variables are related. A positive correlation means that as one variable increases, the other increases as well. A negative correlation means that as one variable increases, the other decreases.

A positive correlation in psychology refers to two variables that move in the same direction. A negative correlation refers to two variables that move in opposite directions.

## What is negative correlation in psychology examples?

A negative correlation is a relationship between two variables in which the value of one variable decreases as the value of the other increases. For example, in a study about babies crying and being held, the discovery that those who are held more tend to cry less is a negative correlation. Also called inverse correlation.

A positive correlation means that as one variable increases, the other variable also increases. For example, if you were looking at the relationship between height and weight, you would expect to see a positive correlation, because as height increases, weight also increases.

### What is a positive correlation vs negative correlation

Variables that have a direct relationship increase and decrease together. In an inverse relationship, one variable increases while the other decreases.

When two stocks move in the same direction, the correlation coefficient is positive. Conversely, when two stocks move in opposite directions, the correlation coefficient is negative.

## What is an example of positive correlation?

A positive correlation is a statistical term used to describe the relationship between two variables that tend to move in the same direction. A basic example of positive correlation is height and weightâ€”taller people tend to be heavier, and vice versa.

Negative correlation is a relationship between two variables in which one variable increases as the other decreases, and vice versa. This type of relationship is often seen in stock prices, where decreases in the prices of one company’s stock may be accompanied by increases in the prices of competitors’ stocks.

## What is positive correlation in simple words?

A positive correlation is a relationship between two variables that move in tandemâ€”that is, in the same direction. A positive correlation exists when one variable decreases as the other variable decreases, or one variable increases as the other increases.

If two variables are positively correlated, it means that as one variable goes up, so does the other. Negative correlation means that as one variable goes up or down, the other goes the opposite way.

### How do you explain correlation in psychology

Correlation is a statistical technique that is used to measure the strength of a linear relationship between two variables. Usually, the two variables are simply observed, not manipulated. The correlation requires two scores from the same individuals. These scores are normally identified as X and Y. The strength of the linear relationship is measured by the correlation coefficient, which can range from -1.0 to +1.0. A positive correlation indicates that as X increases, so does Y, and vice versa. A negative correlation indicates that as X increases, Y decreases.

There is a strong relationship between two variables when the correlation is +1 or -1. This means that as one variable increases, the other variable also increases or decreases. There is no relationship between two variables when the correlation is 0.

## What is negative correlation give two examples?

Negative correlation means that as one variable increases, the other variable decreases. This is the opposite of positive correlation, where an increase in one variable corresponds to an increase in the other. Here are some common examples of negative correlation:

-A student who has many absences has a decrease in grades

-The more one works, the less free time one has

-As one increases in age, often one’s agility decreases

-If a car decreases speed, travel time to a destination increases

Negative correlation is when two variables move in opposite directions. If two variables are negatively correlated, a decrease in one variable is associated with an increase in the other and vice versa.

### Which one of the following is an example of negative correlation

Negative correlation is when two variables move in opposite directions. An example of this is the relationship between price and quantity of a commodity. As the price of a commodity increases, the quantity of the commodity decreases.

Negative correlation describes an inverse relationship between two factors or variables. For instance, X and Y would be negatively correlated if the price of X typically goes up when Y falls; and Y goes up when X falls.

## What is an example of negative correlation quizlet?

A student who has many absences has a decrease in grades. If a train increases speed, the length of time to get to the final point decreases.

Negative correlation means that as one variable increases, the other decreases. In the case of self-esteem and depression, this means that as self-esteem increases, depression decreases. This is because as self-esteem goes up, an individual feels better about themselves and their situation, leading to less depression.

### How do you explain correlation between two variables

Correlation between two variables indicates that changes in one variable are associated with changes in the other variable However, correlation does not mean that the changes in one variable actually cause the changes in the other variable Sometimes it is clear that there is a causal relationship

A negative correlation is a relationship between two variables that move in opposite directions. In other words, when variable A increases, variable B decreases. A negative correlation is also known as an inverse correlation.

### Which situation best describes negative correlation

If two variables are negatively correlated, it means that as one increases, the other decreases. This is also known as an inverse correlation.

A negative correlation between variables is also called anticorrelation or inverse correlation. It is a statistical measure of how two variables relate to each other. Negative correlation means that as one variable increases, the other decreases, and vice versa.

### What is strong negative correlation

A strong negative correlation between two variables indicates that when one variable increases, the other one decreases. For example, a correlation of -097 indicates that when one variable increases, the other one decreases by a large amount. This is opposed to a correlation of 010, which indicates that when one variable increases, the other one only increases by a small amount.

The relationship between price and demand of a commodity is not the example of positive correlation because an increase in the price of a commodity will lead to a decrease in the demand of a commodity or vice versa, ie, both the variables move in the opposite direction.

## Conclusion

In psychology, positive and negative correlation refer to the strength of the relationship between two variables. A positive correlation means that two variables are positively related, which means that as one variable increases, the other variable also increases. A negative correlation means that two variables are inversely related, which means that as one variable increases, the other variable decreases.

Correlation is a statistical technique that is used to measure the strength and direction of the relationship between two variables. Positive correlation occurs when the two variables move in the same direction, while negative correlation occurs when the two variables move in opposite directions.