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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