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Select all that apply.

• 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