When testing to determine if correlation is significant, we use the hypotheses Ho: 0 = 0. Hi: # 0. Suppose the conclusion is to fail to reject the null hypothesis. What does that tell us about the linear regression equation? O It tells us the correlation is significant and it would be appropriate to use the linear regression equation for prediction (for appropriate values of the dependent variable). It tells us the correlation is not significant and it would not be appropriate to use the linear regression equation for prediction. The use of the regression equation is not dependent on correlation; it can always be used for prediction