Which of the following is consistent with the definition of a Type I error?

A: The probability of a Type I error is 100% minus the significance level B: A Type I error would have occurred if the performance of a stock was positively correlated with the performance of a hedge fund, but in a linear regression, the hypothesis of positive correlation was rejected C: A Type I error would have occurred if the performance of a stock was positively correlated with the performance of a hedge fund, but in a linear regression, the hypothesis of no correlation was rejected D: A Type I occurs whenever data series are serially correlated