<p>The Air Force Civil Engineering community spends significant effort maintaining and repairing their infrastructure and facilities at their installations worldwide. They continually search for ways to better illustrate the impact of funding decisions on future infrastructure and facility conditions. The purpose of this research was to develop a predictive model for determining future facility repair costs. The research analyzed current and past funding levels as a possible predictor of future repair costs by way of a multiple linear regression. During the research one variable of specific interest was deferred maintenance. The results provide a predictive model that can be used to forecast repair costs with a 3-year outlook. Given the environmental political and economic factors that affect financial decisions the model provides a solid basis for predicting future costs based on previous expenditures. The model can be used to help support and defend future Air Force funding decisions and can be adapted for use by non-Air Force organizations.</p><p>This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact and remains as true to the original work as possible. Therefore you will see the original copyright references library stamps (as most of these works have been housed in our most important libraries around the world) and other notations in the work.</p><p>This work is in the public domain in the United States of America and possibly other nations. Within the United States you may freely copy and distribute this work as no entity (individual or corporate) has a copyright on the body of the work.</p><p>As a reproduction of a historical artifact this work may contain missing or blurred pages poor pictures errant marks etc. Scholars believe and we concur that this work is important enough to be preserved reproduced and made generally available to the public. We appreciate your support of the preservation process and thank you for being an important part of keeping this knowledge alive and relevant.</p><br>
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