Estimate the simple correlation between 'visits' and 'weather'. Pearson correlation cofficient is (use three decimal points, again no zero before decimal)

. In testing the null hypothesis (H0) of there is no correlation between these variables, we find that the null is (rejected/failed to be rejected)because p-value for t-test on correlation cofficient is (greater/less) than the level of significance (0.05), indicating that weather and visits are significantly (correlated/not correlated).