Statistical Research Projects Project Objective: Application of statistical concepts and techniques taught in QM 292. Project Outcomes: Formulation of research hypothesis and relevant model specification, data set construction, and empirical analysis of model results. Students can work as individuals or in teams of two. The project consists of 5 phases with each phase due to the instructor by midnight of the prescribed due PHASE 1 - September 9, 2016 a. Identify and state a research question of interest. The research question must be stated such that multiple linear regression can be applied to the analysis of the question. In Phase 1 address (a) why is your research question of interest to the reader and (b) Why is it relevant? Examples of questions where multiple linear regression is not applicable: a. Is there any difference in BMI between males and females? This is test of means. b. Does Google stock have greater performance variability as compared to Yahoo? This is a variance test. Examples of research questions might be: c. Females or more likely to attrite from college then males. Alternatively, this can be phrased as 'Is there any difference in the college attrition rate between the genders'? d. Is the consumer price index a good predictor of Christmas retail spending? e. Was President Obama's American Recovery and Reinvestment Act successful in stimulating the US economy after the May 2007 housing crash? f. What factors are most likely to influence stock performance? g. Does parental income and education influence BMI? h. To what extent is defense spending influenced by world oil prices and US oil demand? i. What factors (demographic, macroeconomic, industrial spending, environmental) are most likely to predict the outbreak of Ebola or other diseases (polio, malaria, bird flu)? PHASE 2 - September 23, 2016 2. In a general format, state the model. In other words, identify your dependent and independent variables. Your model must include at least 3 independent variables, but not to exceed 7 independent variables. a. EXAMPLE: If your research question is: \" Does parental income and education influence BMI? \