Multiple regression as an international market forecasting tool.

dc.contributor.author	Wyrick, Connie Schrock.
dc.date.accessioned	2012-12-06T20:30:23Z
dc.date.available	2012-12-06T20:30:23Z
dc.date.created	1981	en_US
dc.date.issued	2012-12-06
dc.identifier.uri	http://hdl.handle.net/123456789/2231
dc.description	30, [170] leaves	en_US
dc.description.abstract	THE PURPOSE OF THIS THESIS IS TO DEVELOP A STRONGER TOOL FOR FORECASTING THE INTERNATIONAL MARKET FOR A SPECIFIC COMPANY. THE PAPER IS DIVIDED INTO FOUR PARTS. THE FIRST PART DESCRIBES VARIOUS METHODS OF FORECASTING. COLLECTION OF DATA AND SELECTION OF VARIABLES ARE IN THE SECOND. EXPLANATION OF THE TOOLS USED IN DEVELOPING THE MULTIPLE REGRESSION EQUATIONS FOLLOW. THE FOURTH YIELDS THE EQUATIONS AND CONCLUSIONS.	en_US
dc.language.iso	en_US	en_US
dc.subject	Sales forecasting.	en_US
dc.subject	Business forecasting.	en_US
dc.subject	Marketing research.	en_US
dc.subject	Export marketing.	en_US
dc.subject	Multiple comparisons (Statistics)	en_US
dc.subject	Regression analysis.	en_US
dc.title	Multiple regression as an international market forecasting tool.	en_US
dc.type	Thesis	en_US
dc.college	las	en_US
dc.department	mathematics, computer science, and economics	en_US