Utilizing a new version of the sunspot number and group sunspot number dataset
available since 2015, we have statistically studied the relationship between solar
activity parameters describing solar cycles and the slope of the linear relationship
between the monthly sunspot numbers and the monthly number of active days in percentage
(AD). As an effort of evaluating possibilities in use of the number of active days to
predict solar activity, it is worthwhile to revisit and extend the analysis performed
earlier. In calculating the Pearson’s linear correlation coefficient r, the Spearman’s
rank-order correlation coefficient rs, and the Kendall’s τ coefficient with the
rejection probability, we have calculated the slope for a given solar cycle in three
different ways, namely, by counting the spotless day that occurred during the ascending
phase and the descending phase of the solar cycle separately, and during the period
corresponding to solar minimum ± 2 years as well. We have found that the maximum solar
sunspot number of a given solar cycle and the duration of the ascending phase are hardly
correlated with the slope of a linear function of the monthly sunspot numbers and AD. On
the other hand, the duration of a solar cycle is found to be marginally correlated with
the slope with the rejection probabilities less than a couple of percent. We have also
attempted to compare the relation of the monthly sunspot numbers with AD for the even
and odd solar cycles. It is inconclusive, however, that the slopes of the linear
relationship between the monthly group numbers and AD are subject to the even and odd
solar cycles.