The statistical significance of a parameter in a regression model refers to: A-An F-test procedure where the alternative hypothesis indicates that at least one of the parameters are different than zero.   B-The conclusion of testing the null hypothesis that the parameter is equal to zero, against the alternative that it is non-zero.   C-The conclusion of testing the null hypothesis that the parameter is equal to non-zero, against the alternative that it is zero.   D-The probability that the OLS estimate of this parameter is equal to zero.       E-Obtaining a non-zero coefficient on the variable in SRF.       F-The interpretation of the sign (positive or negative) of this parameter.

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