Correlation and Correlation coefficient

Front

What is correlation?

Back

Correlation is a statistical measure that describes the extent to which two variables change together. It indicates the strength and direction of a relationship between the variables.

Front

What does a strong negative correlation indicate?

Back

A strong negative correlation indicates that as one variable increases, the other variable tends to decrease significantly.

Front

What does a strong positive correlation indicate?

Back

A strong positive correlation indicates that as one variable increases, the other variable also increases significantly.

Front

What is the correlation coefficient (r)?

Back

The correlation coefficient (r) is a numerical value between -1 and 1 that quantifies the strength and direction of a linear relationship between two variables.

Front

What does an r value of 0 indicate?

Back

An r value of 0 indicates no correlation between the two variables, meaning there is no predictable relationship.

Front

What does an r value between -0.3 and -0.5 indicate?

Back

An r value between -0.3 and -0.5 indicates a weak negative correlation.

Front

What does an r value of -1 indicate?

Back

An r value of -1 indicates a perfect negative correlation, meaning that as one variable increases, the other decreases in a perfectly linear manner.

Front

What does an r value of 1 indicate?

Back

An r value of 1 indicates a perfect positive correlation, meaning that as one variable increases, the other also increases in a perfectly linear manner.

Front

How can you visually identify correlation in a scatter plot?

Back

You can visually identify correlation in a scatter plot by observing the direction and pattern of the points. A downward trend indicates negative correlation, while an upward trend indicates positive correlation.

Front

What is a scatter plot?

Back

A scatter plot is a graphical representation of two variables, where each point represents an observation. It helps to visualize the relationship between the variables.