Predicting and Improving Dental Productivity - NNOHA.org : National ...

Predicting and Improving Dental Productivity - NNOHA.org : National ... Predicting and Improving Dental Productivity - NNOHA.org : National ...

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30.11.2012 Views

Linear regression table Regression Statistics on Combined Periods • Multiple R 0.79 • R Square 0.62 • Adjusted R Square 0.57 • Standard Error 424.80 • Observations 40.00

SUMMARY OUTPUT Regression Statistics Multiple R 0.79 R Square 0.62 Adjusted R Square 0.57 Standard Error 424.80 Observations 40.00 ANOVA df SS MS F Regression 5.00 10,069,783 2,013,957 11.16 Residual 34.00 Total 39.00 Coefficients Intercept 1,741.31 Panel 0.58 Continuity (1,836.22) N/S rate (total n/s / Raw Prod) (1,295.16) Avg RVU per visit 862.23 Years Since Grad (14.35) Regression Summary Output 6,135,370 16,205,153 Standard 180,452 Significance F 0.00 Error t Stat P-value Lower 95% Upper 95% 966.84 1.80 0.0806 (223.54) 3,706.16 0.15 1,286.36 496.44 234.22 11.94 3.88 (1.43) (2.61) 3.68 (1.20) 0.0005 0.1626 0.0134 0.0008 0.2375 0.28 (4,450.41) (2,304.05) 386.23 (38.61) 0.89 777.97 (286.27) 1,338.22 9.91 Lower 95.0% (223.54) 0.28 (4,450.41) (2,304.05) 386.23 (38.61) Upper 95.0% 3,706.16 0.89 777.97 (286.27) 1,338.22 9.91

SUMMARY OUTPUT<br />

Regression Statistics<br />

Multiple R 0.79<br />

R Square 0.62<br />

Adjusted R Square 0.57<br />

St<strong>and</strong>ard Error 424.80<br />

Observations 40.00<br />

ANOVA<br />

df SS MS F<br />

Regression 5.00 10,069,783 2,013,957 11.16<br />

Residual 34.00<br />

Total 39.00<br />

Coefficients<br />

Intercept 1,741.31<br />

Panel 0.58<br />

Continuity (1,836.22)<br />

N/S rate (total n/s / Raw Prod) (1,295.16)<br />

Avg RVU per visit 862.23<br />

Years Since Grad (14.35)<br />

Regression Summary Output<br />

6,135,370<br />

16,205,153<br />

St<strong>and</strong>ard<br />

180,452<br />

Significance<br />

F<br />

0.00<br />

Error t Stat P-value Lower 95% Upper 95%<br />

966.84 1.80 0.0806 (223.54) 3,706.16<br />

0.15<br />

1,286.36<br />

496.44<br />

234.22<br />

11.94<br />

3.88<br />

(1.43)<br />

(2.61)<br />

3.68<br />

(1.20)<br />

0.0005<br />

0.1626<br />

0.0134<br />

0.0008<br />

0.2375<br />

0.28<br />

(4,450.41)<br />

(2,304.05)<br />

386.23<br />

(38.61)<br />

0.89<br />

777.97<br />

(286.27)<br />

1,338.22<br />

9.91<br />

Lower<br />

95.0%<br />

(223.54)<br />

0.28<br />

(4,450.41)<br />

(2,304.05)<br />

386.23<br />

(38.61)<br />

Upper<br />

95.0%<br />

3,706.16<br />

0.89<br />

777.97<br />

(286.27)<br />

1,338.22<br />

9.91

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