Choose those characteristics of a Simple Linear Regression (SLR) Analysis that are applicable. (Note: There are 3 correct answers).
A. The Correlation Coefficient is always greater than the Regression Coefficient in a SLR
B. General Regression Analysis deals only with Continuous Data
C. Non-linear Regressions can explain curvature when with more statistical confidence than Linear Regressions
D. SLR can help quantify the significance of variation in X that influences the variation in Y via a mathematical equation
E. A Correlation does not explain causation but a Regression Analysis with a statistically valid mathematical equation does explain causation
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