Which of the following statements is true with respect to a simple linear regression model?

	a.	The percent of variation in the dependent variable that is explained by the regression model is equal to the square of the correlation coefficient between the x and y variables.
	b.	If the correlation coefficient between the x and y variables is negative, the sign on the regression slope coefficient will also be negative.
	c.	If the correlation between the dependent and the independent variable is determined to be significant, the regression model for y given x will also be significant.
	d.	All of the above are true.