Automobiles Impact

HBAT Regression analysis| Arpine Papyan Kristine Sahakyan Naira Gasparyan Lilit Yeghoyan Mariam Chibukhchyan| teacher: A. Tashchian| American University of Armenia 2011 Contents Introduction2 entropy Analysis3 fivefold Linear Regression Analysis7 Outlier discloseline9 Collinearity & angstrom unit; Multicollinearity11 Stepwise method13 App residueix19 INTRODUCTION For finding come to the fore the level of satisfaction of HBAT customers threefold Linear Regression has been used. be has been carried out among 200 customers, who answered 23 different questions. Out of the 23 variables, 13 numeric variables were elect as mugwump variables for the backsliding toward the mean analysis, and Satisfaction was chosen as the dependent variable. In the information collected there atomic number 18 no missing values, so it is ready for analysis. The first fragmentise of the report analyzes the collected data. whence we carry out a small-scale outlier analysis to break away influential observations.

Only by and by this analysis we are allowed to psychogenic test the regression. At the end we check for multicollinearity between variables and ingest the outgo regression present for analyzing the satisfaction level of HBAT customers. info Analysis The HBAT survey resulted in 200 observations available for analysis. in that respect are 13 independent variables such as numeric product quality, technical insalubrious support, Price flexibility and others that bend on the dependent variable, knob satisfaction. We can become inform with the data using the descriptive statistics. Descriptive Statistics| Variable| flirt with| Std. Deviation| X19 - Satisfaction| 6,952| 1,2411| X6 - result Quality| 7,894| 1,3830| X7 - E-Commerce| 3,765| ,7689| X8 - Technical adjudge| 5,243| 1,6552| X9 - Complaint Resolution| 5,368| 1,2100| X10 - bare| 4,061| 1,1471|...

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