Abstract

When researching the connection between at least two numeric variables, know the distinction between correlation and regression. The likenesses/contrasts and benefits/burdens of these apparatuses are discussed here alongside each instance. Correlation evaluates the course and strength of the connection between two numeric variables, X and Y, and consistently lies between – 1.0 and 1.0. Straightforward direct regression relates X to Y through a condition of the structure Y = a + bX. The review article has shown the difference between correlation and regression.