# Which graph shows a negative correlation

## 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.## What is the slope of a line that is parallel to the line shown on the graph?

## 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.