Choose those characteristics of a Simple Linear Regression (SLR) Analysis that are applicable. (Note: There are 3 correct answers).

Question

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

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

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

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General Regression Analysis deals only with Continuous Data

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

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