Question

Use Excel to develop a regression model for the Hospital Database (using the “Excel Databases.xls” file on Blackboard) to predict the number of Personnel by the number of Births. What can you conclude from the study?

The number of personnel is not adding significant predictability to the number of births in a hospital. The number of births

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.697463374
R Square 0.486455158
Adjusted R Square 0.483861497
Standard Error 590.2581194
Observations 200
ANOVA
df SS MS F Significance F
Regression 1 65345181.8 65345181.8 187.5554252 1.79694E-30
Residual 198 68984120.2 348404.6475
Total 199 134329302
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 390.6214398 54.07601821 7.223561437 1.06764E-11 283.9825868 497.2602928 283.9825868 497.2602928
Births 0.538734917 0.039337822 13.69508763 1.79694E-30 0.461160045 0.616309789 0.461160045 0.616309789


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Answer #1

Solution-

We have to predict the number of Personnel by the number of Births.

From the Summary Output provided -

Intercept = 390.6214398

Slope = 0.538734917

The regression equation is

Number of personals = 390.6214398 + ( 0.538734917 × Number of births )

Also, From ANOVA F value is very large and also p- value is less than significance level.

So, we can conclude

The number of births is adding significant predictability to the number of personals in a hospitals.

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