A multiple linear regression model in estimating marketing parameters in AAA Corporation

Date of Publication

1988

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Applied Mathematics

College

College of Science

Department/Unit

Mathematics and Statistics

Abstract/Summary

Regression Analysis is a statistical technique or tool for evaluating, investigating, modelling or estimating the relationship of one or more independent variables x1, x2,..., xk to a single continuous dependent variable Y. In this thesis, we use multiple linear regression in the form of Y = BO + B1X1 + B2X2 + ... + BKXK, where BO, B1, B2,..., BK are called parameters in the model which are estimated by the analysis.This paper applies linear regression on a real estate business analysis. Specifically this study introduces concepts in multiple linear regression and applies these concepts to the corporation. After the application of the model, the independent variables which are important to the corporation are determined as well as those variables which are not for describing or predicting the dependent variables. This application of the model would then maximize the profit of the real estate corporation.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU06093

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

98 leaves

Keywords

Linear programming; Regression analysis; Log-linear models; Marketing--Mathematical models

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