When forecasting with time-series data, it is highly recommended to test for the presence of a trend in the data. Testing for trend at the 10% level of significance Select one: O A. requires use of the standard normal probability distribution. O B. can be accomplished by use of a standard 95% correlogram. OC. can be accomplished by comparing the estimated autocorrelation coefficient with the number 2 divided by the square root of sample size. OD requires use of the t distribution When forecasting with time-series data, it is highly recommended to test for the presence of a trend in the data. Testing for trend at the 10% level of significance Select one: O A. requires use of the standard normal probability distribution. O B. can be accomplished by use of a standard 95% correlogram. OC. can be accomplished by comparing the estimated autocorrelation coefficient with the number 2 divided by the square root of sample size. OD requires use of the t distribution