Linear Regression and Correlation

Front

What is linear regression?

Back

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.

Front

What does correlation measure?

Back

Correlation measures the strength and direction of a linear relationship between two variables.

Front

What is a positive correlation?

Back

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

Front

What is a negative correlation?

Back

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

Front

What is the correlation coefficient (r)?

Back

The correlation coefficient (r) is a numerical measure of the strength and direction of a linear relationship between two variables, ranging from -1 to 1.

Front

What does an r value of 0 indicate?

Back

An r value of 0 indicates no correlation between the two variables.

Front

What does an r value of 1 indicate?

Back

An r value of 1 indicates a perfect positive correlation between the two variables.

Front

What does an r value of -1 indicate?

Back

An r value of -1 indicates a perfect negative correlation between the two variables.

Front

What is a scatter plot?

Back

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

Front

What does a scatter plot with a positive association look like?

Back

A scatter plot with a positive association shows points that trend upwards from left to right.