compare and contrast correlation and regression.

Brief Explanations:

Correlation measures the strength and direction of a linear relationship between two variables, ranging from - 1 to 1. Regression, however, is used to predict the value of a dependent variable based on the value of one or more independent variables. It finds the best - fit line (in simple linear regression). Correlation is symmetric (the correlation of X with Y is the same as Y with X), while regression is not (predicting Y from X is different from predicting X from Y).

Answer:

Correlation measures relationship strength/direction, is symmetric, and ranges from - 1 to 1. Regression is for prediction, finds best - fit line, and is not symmetric.