Executive Summary This paper will use both simple and multiple linear regression techniques to show the relationship between the amount of a bill and the number of days it takes to collect for both commercial and residential accounts for Quick Stab Collection Agency. It will examine if the size of the bill impacts the time it take to collect, analyze the differences between procuring delinquent residential and commercial bills and recommend strategic actions that may be taken to maximize Quick Stab
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Keller Graduate School of Management Applied Managerial Statistics (GM533) Course Project Case Study: Grocery Bags data gathered and written by ME Applied Managerial Statistics GM533 Instructor: XX I. Executive Summary For this research I decided to develop my own case study and collect all the data myself. The data file named “Grocery Bag Study” (separate attachment), contains observations on 33 sample groups with a variation of 8 different characteristics (see table below). These
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A Statistical Analysis of Case 32 Michael A. Wilson GM533 02/12/2012 INTRODUCTION The purpose of this analysis is to analyze the QSCA in determining if the amount or size of a bill is directly correlated to the number of days the bill is past due. In order to support the validity of this relationship, a statistical analysis of the data provided will support the relationship within 95% confidence levels. These findings should give a better understanding of the QSCA’s business and provide vital
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Course Project Case 32 Overdue Bills GM533 Introduction The National Minority Women in Business Institute (NMWBI) is a nonprofit networking organization for minority women business owners and entrepreneurs. For the past 25 years, NMWBI has served as the platform for more than 10 million women business owners to share resources, make economic decisions and influence public policy. NMWBI is a dues-based national organization representing the interest of minority women entrepreneurs
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Running Head: Case 49 Property Crimes Andrea K. Wallace GM533 Professor Beintema Keller Graduate School of Management October 16, 2011 Executive Summary After examining the eight variables that attribute to property crimes, the three variables that effect crime are density, dropout and urban. When density increases by 1%, this would cause a decrease in crime rate. When the dropout rate increases by 1%, this would cause an increase in property crimes. When urban area crimes increase
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Case Study 49: Property Crimes First M Last (firstlast@mail.com) For Professor Beintema Managerial Statistics (GM533) Keller School of Management August 2010 I. Executive summary Our study examined data provided by various U.S. government agencies on property crime rates in the fifty U.S. states and eight possible contributing factors such as per capita income, high school dropout rate, average precipitation, population density, and urbanization. Our analysis revealed that of the
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HOUSE PRICES II CASE: 28 Olusegun Abebayo TAKSAMAI TANAPAISANKIT STACEYANN BARTON GM533 Applied Managerial Statistics Abstract Pricing your home competitively is an important factor in determining your selling price. As a seller, the aim is to get the best asking price. To prevent losing money, one has to be careful not to underprice their home. As mentioned in the article Selling Your Home – The Importance of Pricing Correctly, the most important factor when selling your home is not
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