# Discriminant Analysis

## Discriminant Analysis

• Submitted By: zafza
• Date Submitted: 07/14/2008 4:07 AM
• Category: Science
• Words: 3311
• Page: 14
• Views: 3

RESEARCH AND SURVEY STATISTICS

STA3022F

2007 PROJECT

APPLICATION OF MULTIPLE DISCRIMINANT ANALYSIS

LECTURER : IAN DURBACH

STUDENTS : ZAFAR HARNEKAR – HRNZAF001
ZUNAID SALOOJEE – SLJZUN003

Report on satisfaction of UCT students with catering service in residences

PREPARED FOR:
Victor Matfield
Human Resources Manager
Nando’s Group Ltd.

PREPARED BY:
Zafar Harnekar and Zunaid Saloojee
Statistical Research Consultants

page

TERMS OF REFERNCE

EXECUTIVE SUMMARY

1. INTRODUCTION

2. METHOD OF INVESTIGATION

4. STATISTICAL FINDINGS
4.1 step 0
4.2 step1
4.3 step2
4.4 step 3
4.5 further analysis

5. CONCLUSIONS
6. RECOMMENDATIONS

1. MANAGEMENT SYNOPSIS
OBJECTIVES OF THE REPORT

 Analyse the data collected from the sample using a Multiple Discriminant Analysis in Statistica.
 Draw conclusions on how accurately the customers/respondents are classified according to their level of loyalty.
 Make recommendations on the aspects of business that need special focus in order for the Nandos Group Ltd to improve their customer retention.

2. INTRODUCTION

The Nando’s Group Ltd. has approached the stats 3022F (Research & Survey Statistics) class of 2007 to undertake a study assessing the loyalty levels of its customers. Although the group has achieved significant success with its Nando’s food outlets, it realizes that competition in the fast food industry is tough, and being an ambitious company, it wishes to know how best it can retain current customers, and capture an even greater market share.
The question that needs to be answered is: how loyal are Nando’s customers, and which factors determine their level of loyalty?

The lucky few students who were chosen to undertake this task decided that multiple discriminant analysis would be the best multivariate statistical technique to be applied to the research problem. Multiple discriminant...