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

• Main Authors: Duay, Ma. Lea G., Evangelista, Asuncion Luz S.R.
• Format: text
• Language: English
• Published: Animo Repository 1988
• Subjects: Linear programming; Regression analysis; Log-linear models; Marketing > Mathematical models
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/16083
• Institution: De La Salle University

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.