Correlation

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 linear relationship between the variables.

Front

What are the types of correlation?

Back

The types of correlation include positive correlation, negative correlation, and no correlation (zero 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 zero correlation?

Back

A zero correlation indicates that there is no relationship between the changes in the two variables.

Front

What is the range of correlation coefficients?

Back

The correlation coefficient ranges from -1 to +1, where -1 indicates a perfect negative correlation, +1 indicates a perfect positive correlation, and 0 indicates no correlation.

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 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

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 does not imply causation; just because two variables are correlated does not mean that one variable causes the other to change.