Skip to main content

Table 4 Calendar-only model using all predictors from dataset D

From: Predicting emergency department visits in a large teaching hospital

Variable Coefficient Standard error Significance level
Intercept 86.8072 1.0653 <.01
Monday 12.3425 1.0801 <.01
Friday 9.3426 1.0485 <.01
Saturday − 8.8611 1.0513 <.01
Sunday − 10.9487 1.0748 <.01
Summer 1,9174 1.2012 N.S.
Fall − 3.2428 1.0004 <.01
Winter − 1.5169 1.0585 N.S.
Time trend (daily) 0.007 0.0013 <.01
Carnival 9.632 4.3362 N.S.
Holiday − 14.2356 3.3540 <.01
Monday * Holiday − 9.2185 4.9002 N.S.
Sunday * Holiday 14.2801 5.2446 <.01
Summer vacation (week 1 + 2) − 11.9859 1.7660 <.01
Summer vacation (week 3 + 4) − 16.5986 1.8521 <.01
Summer vacation (week 5 + 6) − 7.2858 1.811 <.01
Observations 921
Multiple R-squared 0.4425
Adjusted R-squared 0.4333
  1. Dataset D is based on calendar-based predictors selected from dataset C plus three season indicators (dropped spring to avoid multicollinearity); * = interaction; N.S. not significant