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Quantitative

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Words 1997
Pages 8
PROJECT: How Are Calories Affected by Fat, Proteins and Carbohydrates

Prepared for: Dr. Ahmed Baijou

Date: 05/05/2011
Course: Advanced Quantitative Methods
Multiple Regression Model Analysis

Spring 2011

Table of Contents

Proposal 3
Introduction 4
Literature Review 5
Data Analysis 7 Descriptive Analysis 7 Model Building 7 Application of the Multiple Regression Analysis 12
Conclusion and Recommendations 17
References 18
Appendix 19

Proposal

Nowadays, people tend to be more concerned about their health but especially their shape; thus they are more interested in and willing to pay more for products that have low levels of calories and which are appropriate for diet programs. We are supposing that we are working for a food company that wants to launch a new weight loss product designed for people who are interested in getting in shape. The purpose of this study is to determine how calories are affected by Proteins, Carbohydrates and Fat; and to provide the company with the necessary information it needs to know how to get the desired level of calories by manipulating the different variables. In order to conduct the study, we will be using a multiple regression model. This model will consist of one dependent variable: Calories; three independent variables: Fat, Carbohydrates, and Proteins; and one dummy variable which is the nature of the product. That is: Liquid or Solid. First, we will start by looking for appropriate data, which consists of a list of different products (for every 100g) along with their level of calories in Kcal, and the level of Carbohydrates, fat and Proteins (all in grams). Then, we will use SPSS to get the output of the multiple regression model; both simple and stepwise. Finally, we will interpret the final results of the model, and

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