Ankita Mehra Mobile: +91 9911235587 Email ID: ankita_mehra2811@yahoo.co.in; ankita2811mehra@gmail.com Professional Experience Evalueserve.Com Pvt. Ltd.‚ Gurgaon Profile: Business Analyst Engagement: Analytics and Research Team Role: Have worked extensively in Telecom sector for analytical assignments; providing customer insights for marketing practices Work Period: From July’11 to Present Project Experience Employee Satisfaction Research for a leading telecom service provider
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Multicollinearity What multicollinearity is. Let H = the set of all the X (independent) variables. Let Gk = the set of all the X variables except Xk. The formula for standard errors is then 2 s 1 − RYH * y 2 (1 − RX k Gk ) * ( N − K − 1) s X k sbk = = 2 s 1 − RYH * y Tolk * ( N − K − 1) s X k = Vif k * 2 s 1 − RYH * y ( N − K − 1) s X k The bigger R2XkGk is (i.e. the more highly correlated Xk is with the other IVs in the model)‚ the bigger the standard error will be. Indeed‚ if
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Variables include basic demographic information‚ academic information‚ drug use information‚ and experiences with crime since becoming a student. EXTENT OF COLLECTION: 1 data file + machine-readable documentation (PDF) + SAS data definition statements + SPSS data definition statements EXTENT OF PROCESSING: CONCHK.PR/ DDEF.ICPSR/ MDATA.ICPSR/ REFORM.DATA/ REFORM.DOC/ SCAN/ UNDOCCHK.PR DATA TYPE: survey data TIME PERIOD: April 1989-May 1989 DATE OF COLLECTION: April 1989-May 1989 FUNDING AGENCY: United
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Business Research Methods – Course Handout MBA – Semester II – Class of 2014 Faculty: Vishal Mishra Qualifications: PhD (Strategic Management)‚ M.M.S (Systems/Marketing) Contact Details: Room No. – E 213; Ph – 9948494348 (Mob.); Email: vmishra@ibsindia.org Meeting Hours: All (working) week-days - with prior appointment 1. Instruction Details Course Duration: 33 sessions of 75 minutes each‚ 2. Course Details A. Course Objective: To provide basic concepts of research methods
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Teaching Research Methods: Learning by Doing N. Alexander Aguado University of North Alabama “I hear and I forget. I see and I remember. I do and I understand.” — Confucius ABSTRACT This paper outlines ways to structure a research-methods class so that students gain a practical knowledge of how research is done. Emphasis is placed on data collection‚ using statistical software‚ and writing up results. Included in this article are several assignments and exercises that‚ when combined‚ work
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Analyzing SPSS (PASW) Software: Part 1 Scott W. Hatten July 6‚ 2014 Walden University Thesis Statement In order to ensure accurate reporting on task-oriented risk‚ the organization must understand the real significance of the statistics they report. Research Question The purpose of the study was to design and validate a dashboard tool that can validate the number of potential risks that occur within the organization. The Risk Dashboard Initiative (RDI) will review the number of employees‚ the
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variables were provided ‚ namely-Street Address‚ Unit‚ Area‚ Area Code‚ First Price‚ Last Price‚ Sale Price‚ First Date‚ Close Date‚ Days‚ Interior‚ Bed (rooms)‚ Bath (rooms)‚ Rooms‚ Condo‚ Tax and RC. A regression model analysis was carried out using SPSS with Sale Price as the dependant variable and the rest as independent variables. Significant Variables: Removing redundant variables ie. Area & Area Code‚ an initial regression sans outliers showed First Price (sig=0.000)‚ Last Price (sig=0
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Purposes of discriminant analysis Discriminant analysis linear equation Assumptions of discriminant analysis SPSS activity – discriminant analysis Stepwise discriminant analysis 589 590 590 593 604 When you have read this chapter you will understand: 1 The purposes of discriminant analysis. 2 How to use SPSS to perform discriminant analysis. 3 How to interpret the SPSS print out of discriminant analysis. Introduction This chapter introduces another extension of regression where
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FASHION DESIGN STYLES RECOMMENDED BY CONSUMERS’ SENSIBILITY AND EMOTION I. Summary Analysis of customers’ sensibility and preference is important in a market that is becoming increasingly more customer oriented. This study attempted a sensibility ergonomic approach to explore how a consumer’s sensibility is associated with physical attributes of design in the textile and fashion design fields. A sensibility fashion design system‚ which classifies a user’s sensibilities and recommends
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Thesis topic: EVALUATING CUSTOMERS’ INTEREST TOWARDS PRIVATE BRAND OF BIG C SUPERMARKET :WOW‚ IN FAST-CONSUMING COMMODITIES MARKET‚ CASE STUDY ON HO CHI MINH CITY. The most prestige supermarkets in Vietnam those have financial strength‚ wide distribution systems and the number of customers fairly "enormous"‚ which must include: Metro Cash & Carry Vietnam‚ BigC‚ and especially‚ BigC‚ are trying to develop and expand private brand in order to progress into the market. Most of private branded
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