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The following data were collected from several hospitals and reflect ER visits, bed days, and total expenditures per period of time.

 

 

ER Visits

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Bed Days

Total Expenditures

               1,567

                                  554

 $    10,945,664

               1,621

                                  283

 $     6,844,832

               3,463

                                  331

 $     8,203,411

               5,033

                               2,137

 $    13,020,058

               5,357

                                     2

 $     7,033,959

               6,433

                                    81

 $     1,973,125

               7,369

                                  207

 $     1,757,830

               7,750

                                  121

 $     2,326,256

               8,228

                                    74

 $        820,835

               8,955

                                  726

 $    13,611,527

              11,374

                                  153

 $     2,206,398

              13,362

                               1,093

 $    10,124,680

1.  Generate a correlation matrix and a scatterplot matrix.

2. Test the statistical significance of all bivariate correlations at the .05 level.  Interpret

3.  Test normality of the Total Exp variable.  If not normal, transform it.

4.  Run a regression model for Total Exp as a function of  Total ER Visits and Average Monthly Bed Days.

5.  Test the assumptions of regression.  Do they hold?  If not, what might you do.

6.  Interpret all results.

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