Choose those characteristics of a Simple Linear Regression (SLR) Analysis that are applicable.

The Correlation Coefficient is always greater than the Regression Coefficient in a SLR

General Regression Analysis deals only with Continuous Data

Non-linear Regressions can explain curvature when with more statistical confidence than Linear Regressions

SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation

A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation