Final answer:
Correlation and regression are statistical measurements used to quantify the strength of the linear relationship between two variables. Correlation determines if there is a relationship, while regression quantifies that relationship. The correlation coefficient, represented by the letter r, is a number from -1 to +1 that indicates the strength and direction of the relationship between variables.
Step-by-step explanation:
Correlation and regression are statistical measurements used to quantify the strength of the linear relationship between two variables. Correlation determines if there is a relationship, while regression quantifies that relationship. The correlation coefficient, represented by the letter r, is a number from -1 to +1 that indicates the strength and direction of the relationship between variables. Regression analysis is a more complex technique that helps determine the strength and direction of causality between a dependent variable and one or more independent variables. It allows for better analysis of the effect of multiple variables on the dependent variable.