Based on the lower triangle of the output from the corr.test() function, the correlation between variable A and variable B produced a p-value smaller than .05, while the correlation between variable A and variable C produced a p-value larger than .05. Does this mean that the association between variable A and variable B is practically important, but the association between variable A and variable C is not practically important? Why? Why not?