| CAR DESIGN ANALYSIS | | | | SUBMITTED BY :FT12206 BALAJI MADHUSUDHAN | | Car design Analysis Sum of Squares comparisons: Technique | Total sum of squares | MLR | 1989.69 | ANN | 1716.93 | GA | 496.5 | Results: * As can be seen from the above table, Multiple linear regression technique (MLR) provides the model with highest “Total Sum of Squares” followed by the Artificial Neural Network (ANN) anby Genetic Algorithm (GA). * The three
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Introduction Background of the study It is a common issue to test whether the stock prices are efficient, in most of the researches. It is found that long term returns are more predictable than short term and thus mean reverting. Studies mainly focus on autocorrelation of returns in different time lengths. In finance theory it says when autocorrelation of stock prices is there, then prices are predictable. Therefore, it is evidence against the random walk hypothesis of stock prices.
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churn. This paper aims to present commonly used data mining techniques for the identification of churn. Based on historical data these methods try to find patterns which can point out possible churners. Well-known techniques used for this are Regression analysis, Decision Trees, Neural Networks and Rule based learning. In section 1 we give a short introduction describing the current state of the market, then in section 2 a definition of customer churn, its’ types and the imporance of identification of
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1 Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis Xinshu Zhao* Professor and Director Center for Research in Journalism and Mass Communication University of North Carolina and Chair Professor and Dean School of Communication, Hong Kong Baptist University zhao@unc.edu John G. Lynch, Jr.* Roy J. Bostock Professor of Marketing Fuqua School of Business Duke University Durham, NC 27708 Tel: (919)-660-7766 john.lynch@duke.edu Qimei Chen* Shidler Distinguished
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Significance of Regression Analysis In statistics, regression analysis includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables. More specifically, regression analysis helps one understand how the typical value of the dependent variable changes when any one of the independent variables is varied, while the other independent variables are held fixed. Most commonly, regression analysis estimates
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industry, it becomes important to understand the store image perceptions of consumers here. This paper attempts to find out the key factors that are perceived as important to Indian consumer. Keywords: Store Image, apparel stores, Factor Analysis, Regression Analysis Introduction Retailing in India is gaining attention like never before. Organized retailing especially is creating euphoria amongst Indian consumers drawing them into malls and trade areas in huge numbers. Retailers are offering newer
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FACTORS AFFECTING STUDENTS’ PERFORMANCEA Case Of Private CollegesSyed Tahir Hijazi 1 andS.M.M. Raza Naqvi 2 Abstract: Many empirical studies are carried out to explore factors affecting college students’ performance. The focus of this research is that student performance in intermediate examination isassociated with students’ profile consisted of his attitude towards attendance in classes, time allocation for studies, parents’ level of income, mother’s age and mother’s education. The research
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Jason Sim Electronic Commerce Q1. Describe the "power law" - what does it imply for sales of a) "superstars" and b) "underdogs". Power Law is the relationship between one or more variables such as the relationship of “super stars” and “underdogs”. The theory of super stars predicts that lower distribution and transaction cost will homogenize patterns of consumption (Rosen, 1981). The theory of under dog predicts the opposite with higher distribution and transactions cost providing the consumer
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Purch | Desired range | |of values for a | |Goodness-of-fitstatistics Value good fit | |Absolute fit measures
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Ford Mustang Statistical Report To: Tom Jones, Director of Sales From: Statistician Date: 10/17/2010 Subject: Analysis of factors affecting selling price of Ford Mustangs Per your request, I am providing a statistical analysis of the factors affecting the selling price of Ford Mustangs. There are nine (9) variables that affect the selling price of Ford Mustangs. They are: Convertible or not Convertible, automatic or manual transmission, air conditioning or no air conditioning, GT model
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