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time-series analysis

The following is a time series data set. Run a time-series analysis for projections of April 2009 in the Healthcare industry of Nashville.

(Run in SPSS and just copy and paste results in microsoft word. Explain your results)

2006-Dec 55010
2006-Nov 55200
2006-Oct 54100
2006-Sep 54050
2006-Aug 54300
2006-Jul 54100
2006-Jun 54070
2006-May 54100
2006-Apr 55200
2006-Mar 57100
2006-Feb 56100
2006-Jan 56200
2002-Jan 55240
2002-Feb 55300
2002-Mar 55500
2002-Apr 55700
2002-May 55700
2002-Jun 55900
2002-Jul 55800
2002-Aug 55900
2002-Sep 56000
2002-Oct 56020
2001-Jan 55400
2001-Feb 55390
2001-Mar 55330
2001-Apr 55280
2001-May 55285
2001-Jun 55276
2001-Jul 55230
2001-Aug 55400
2001-Sep 55440
2001-Oct 55420
2001-Nov 55500
2001-Dec 55600
2000-Jan 55000
2000-Feb 55050
2000-Mar 55020
2000-Apr 55000
2000-May 55020
2000-Jun 55010
2000-Jul 55000
2000-Aug 54080
2000-Sep 54090
2000-Oct 55000
2000-Nov 55000
2000-Dec 55030
1999-Jan 54890
1999-Feb 54900
1999-Mar 54880
1999-Apr 54875
1999-May 54700
1999-Jun 54760
1999-Jul 55770
1999-Aug 55790
1999-Sep 55800
1999-Oct 55800
1999-Nov 55880
1999-Dec 55890
1998-Jan 54200
1998-Feb 54100
1998-Mar 54120
1998-Apr 54175
1998-May 54230
1998-Jun 54300
1998-Jul 54400
1998-Aug 54440
1998-Sep 54550
1998-Oct 54900
1998-Nov 54930
1998-Dec 54900

Solution Summary

A time-series analysis is achieved.

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