a. The DW statistic is 1.367 and is higher than du therefore we fail reject the null of no positive autocorrelation. b. The DW statistic is 1.367 and is higher than du therefore we have no evidence of positive autocorrelation. O c. The DW statistic is 1.367 and is between dj and du therefore the test is inconclusive. O d. The DW statistic is 1.367 and is lower than dj therefore we reject the null of no positive autocorrelation.The data are twenty monthly sales for a new product. Refer to the MINITAB output below to test for positive autocorrelation at 1% level of significance. Time Series Plot of y Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Regression 49960 49960.4 104.75 0.000 time 49960 49960.4 104.75 0.000 Error 18 8585 477.0 12 14 16 Total 19 58546 Index Model Summary TABLE AS A Durbin-Watson Table: Values of dies and dum k=1 K=3 K = 5 S R-sq R-sq(adj) R-sq(pred) de dun dum dum 1.07 1.96 21.8395 85.34% 84.52% 82.66% 109 1-10 EEE Coefficients Term Coef 1.40 SE Coef T-Value |P-Value VIF Constant 290.1 10.1 28.59 0.000 time 8.668 0.847 10.23 0.000 1.00 Regression Equation Y = 290.1 + 8.668 time Durbin-Watson Statistic Durbin-Watson Statistic = 1.36675