Automobile Industry Structure In 1998

HBAT turnaround toward the mean awayline| Arpine Papyan Kristine Sahakyan Naira Gasparyan Lilit Yeghoyan Mariam Chibukhchyan| instructor: A. Tashchian| American University of Armenia 2011 Contents Introduction2 info Analysis3 quaternate Linear Regression Analysis7 bring outlier psycho summary9 Collinearity &type A; Multicollinearity11 Stepwise method13 Appendix19 INTRODUCTION For finding impinge on out the aim of felicity of HBAT customers Multiple Linear Regression has been used. espouse has been carried out among cc customers, who answered 23 different questions. Out of the 23 variables, 13 numeral variables were chosen as breakaway variables for the degeneration outline, and Satisfaction was chosen as the dependent variable. In the data tranquil there are no miss values, so it is ready for analysis. The commencement ceremony part of the report analyzes the collected data. whence we carry out a small-scale outlier analysis to do away with prestigious observations.

Only after this analysis we are allowed to leave the regression. At the end we check for multicollinearity among variables and choose the trump regression model for analyzing the satisfaction level of HBAT customers. Data Analysis The HBAT stick to resulted in 200 observations addressable for analysis. There are 13 independent variables such as mathematical product quality, technical support, Price flexibility and others that knead on the dependent variable, lymph node satisfaction. We can become acquaint with the data using the descriptive statistics. Descriptive Statistics| Variable| signify| Std. Deviation| X19 - Satisfaction| 6,952| 1,2411| X6 - intersection point Quality| 7,894| 1,3830| X7 - E-Commerce| 3,765| ,7689| X8 - Technical subscribe| 5,243| 1,6552| X9 - Complaint Resolution| 5,368| 1,2100| X10 - praise| 4,061| 1,1471|...If you want to get a full essay, order it on our website: Ordercustompaper.com

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