Automobile Industry Structure In 1998

HBAT reversion bulgeline| Arpine Papyan Kristine Sahakyan Naira Gasparyan Lilit Yeghoyan Mariam Chibukhchyan| teacher: A. Tashchian| American University of Armenia 2011 Contents Introduction2 info Analysis3 manifold Linear Regression Analysis7 appearlier psycho abbreviation9 Collinearity & group A; Multicollinearity11 Stepwise method13 Appendix19 INTRODUCTION For finding go across out the aim of satisfaction of HBAT customers Multiple Linear Regression has been used. espouse has been carried out among two hundred customers, who answered 23 different questions. Out of the 23 variables, 13 numeric variables were chosen as free lance variables for the degeneration psychoanalysis, and Satisfaction was chosen as the dependent variable. In the data compile there are no lacking values, so it is ready for analysis. The first-class honours degree part of the report analyzes the collected data. whence we carry out a small-scale outlier analysis to do away with potent observations.

Only after this analysis we are allowed to leave the regression. At the end we check for multicollinearity in the midst of variables and choose the trump regression model for analyzing the satisfaction level of HBAT customers. Data Analysis The HBAT conform to resulted in 200 observations forthcoming for analysis. There are 13 independent variables such as mathematical product quality, expert support, Price flexibility and others that bewitch on the dependent variable, customer satisfaction. We can become inform with the data using the descriptive statistics. Descriptive Statistics| Variable| consider| Std. Deviation| X19 - Satisfaction| 6,952| 1,2411| X6 - reaping Quality| 7,894| 1,3830| X7 - E-Commerce| 3,765| ,7689| X8 - Technical leap out| 5,243| 1,6552| X9 - Complaint Resolution| 5,368| 1,2100| X10 - advertise| 4,061| 1,1471|...If you want to get a full essay, order it on our website: Orderessay

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