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?

| 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 |
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.
Use Excel to develop a regression model for the Hospital Database (using the “Excel Databases.xls” file...
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Locate Hospital Tab on Excel Data. View
Data:https://drive.google.com/file/d/1HMgLG7BVcvpoQ6iUxjkL_xCBzvpgHhHp/view?usp=sharing
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show all steps, excel not allowed, thank you and will rate
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one? Explain.
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