Correlation

Front

What is correlation in statistics?

Back

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

Front

What are the possible values of a correlation coefficient?

Back

The correlation coefficient can range from -1 to +1. A value of -1 indicates a perfect negative correlation, +1 indicates a perfect positive correlation, and 0 indicates no correlation.

Front

What does a positive correlation indicate?

Back

A positive correlation indicates that as one variable increases, the other variable also tends to increase.

Front

What does a negative correlation indicate?

Back

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

Front

What is a strong correlation?

Back

A strong correlation is indicated by a correlation coefficient close to -1 or +1, suggesting a strong linear relationship between the two variables.

Front

What is a moderate correlation?

Back

A moderate correlation is indicated by a correlation coefficient around -0.5 to -0.7 or +0.5 to +0.7, suggesting a moderate linear relationship between the two variables.

Front

What is a weak correlation?

Back

A weak correlation is indicated by a correlation coefficient close to 0, suggesting a weak linear relationship between the two variables.

Front

What does a correlation coefficient of 0 mean?

Back

A correlation coefficient of 0 indicates that there is no linear relationship between the two variables.

Front

How can correlation be visually represented?

Back

Correlation can be visually represented using a scatter plot, where each point represents an observation and the pattern of points indicates the type of correlation.

Front

What is the difference between correlation and causation?

Back

Correlation indicates a relationship between two variables, but it does not imply that one variable causes the other to change.