The p-value is a probability that measures the evidence against the null hypothesis. Lower probabilities provide stronger evidence against the null hypothesis. Minitab displays p-values for accumulated lags that are multiples of 12.
Use the p-values to determine whether the model meets the assumptions that the residuals are independent. To determine whether the residuals are independent, compare the p-value to the significance level for each chi square statistic. Usually, a significance level (denoted as α or alpha) of 0.05 works well. If the p-value is greater than the significance level, you can conclude that the residuals are independent and that the model meets the assumption. If the assumption is not met, the model may not fit the data and you should use caution when you interpret the results.