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 quadruplicate Linear Regression Analysis7 Outlier discloseline9 Collinearity & group A; Multicollinearity11 Stepwise method13 App leftoverix19 INTRODUCTION For finding go forth the level of satisfaction of HBAT customers triune 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 self-reliant variables for the relapse toward the mean analysis, and Satisfaction was chosen as the dependent variable. In the information collected in that location atomic number 18 no missing values, so it is ready for analysis. The first unwrap of the report analyzes the collected data. thence we carry out a small-scale outlier analysis to steal influential observations.

Only by and by this analysis we are allowed to cordial test the regression. At the end we check for multicollinearity between variables and direct the outgo regression pattern for analyzing the satisfaction level of HBAT customers. information Analysis The HBAT survey resulted in 200 observations available for analysis. there are 13 independent variables such as numeric product quality, technical pop off support, Price flexibility and others that yield on the dependent variable, invitee satisfaction. We can become inform with the data using the descriptive statistics. Descriptive Statistics| Variable| hateful| Std. Deviation| X19 - Satisfaction| 6,952| 1,2411| X6 - intersection Quality| 7,894| 1,3830| X7 - E-Commerce| 3,765| ,7689| X8 - Technical agree| 5,243| 1,6552| X9 - Complaint Resolution| 5,368| 1,2100| X10 - send| 4,061| 1,1471|...

If you want to get a full essay, order it on our website: Ordercustompaper.com

If you want to get a full essay, wisit our page: write my paper