## What is negative correlation example?

A negative correlation is a relationship between two variables in which an increase in one variable is associated with a decrease in the other. An example of negative correlation would be height above sea level and temperature. As you climb the mountain (increase in height) it gets colder (decrease in temperature).

## What does it mean if there is a negative correlation?

Negative correlation is a relationship between two variables in which one variable increases as the other decreases, and vice versa. … A perfect negative correlation means the relationship that exists between two variables is exactly opposite all of the time.

## Which best describes the strength of the correlation?

Which best describes the strength of the correlation, and what is true about the causation between the variables? It is a weak negative correlation, and it is not likely causal.

## How do you tell if there is a positive or negative correlation?

When the y variable tends to increase as the x variable increases, we say there is a positive correlation between the variables. When the y variable tends to decrease as the x variable increases, we say there is a negative correlation between the variables.

## Which statement best illustrates a negative correlation?

What statement best illustrates a negative correlation between the number of hours spent watching TV the week before an exam and the grade on that exam? Students who watch more TV perform more poorly on their exams.

## Which R value represents the strongest negative correlation?

-1
Explanation: According to the rule of correlation coefficients, the strongest correlation is considered when the value is closest to +1 (positive correlation) or -1 (negative correlation). A positive correlation coefficient indicates that the value of one variable depends on the other variable directly.

## Which correlation represents a moderate negative correlation?

Negative correlation is measured from -0.1 to -1.0. Weak negative correlation being -0.1 to -0.3, moderate -0.3 to -0.5, and strong negative correlation from -0.5 to -1.0.

## Which relationships could have a negative correlation?

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.

## Which of the following indicates the strongest correlation?

The strongest linear relationship is indicated by a correlation coefficient of -1 or 1. The weakest linear relationship is indicated by a correlation coefficient equal to 0.

## Which are value represents the weakest correlation?

-0.15
(a) -0.15 represents the weakest correlation.

## Which of the following indicates a strong positive correlation?

Understanding Correlation

The possible range of values for the correlation coefficient is -1.0 to 1.0. In other words, the values cannot exceed 1.0 or be less than -1.0. A correlation of -1.0 indicates a perfect negative correlation, and a correlation of 1.0 indicates a perfect positive correlation.

## Which of the following indicates a negative correlation of lower degree?

A perfect negative correlation has a coefficient of -1, indicating that an increase in one variable reliably predicts a decrease in the other one. … Lower degrees of correlation are expressed by non-zero coefficents between +1 and -1.

## Which scatter diagram shows the strongest positive correlation?

As compare to other scatterplots, scatterplot 3 indicates that most of the data points form a straight line or lies close to the straight line, hence this scatterplot represents the strongest linear correlation.

## What does a positive correlation show?

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