Which of the following is a reason that we calculate a correlation between two variables rather than only a covariance?A covariance can only be positive, whereas correlation can describe the direction as well as the strength of a relationship.A covariance can be any number, whereas a correlation can only be between -1 and 1 .A covariance is standardized, whereas a correlation is based on the original units of measurement.A covariance measures linear relationships, whereas a correlation can capture both linear and nonlinear relationships.