Introduction to multiple linear regression analysis
Date of Publication
1984
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Applied Mathematics
College
College of Science
Department/Unit
Mathematics and Statistics
Abstract/Summary
The aim of this study is to introduce the reader to the topic of Multiple Linear Regression Analysis (MLRA). Specifically, it discusses the basic concepts underlying MLRA and applies these concepts to analyze cases. The discussion focuses on estimation of the model parameters, confidence intervals in multiple regression, analyses of data sets (price, demand and supply, factors affecting CPU time, sales performance) and topics on the use of regression analysis (auto-correlation and multicollinearity). There is a brief review material in Appendix I and Appendix II on basic statistical concepts and matrix algebra. A computer program is also provided to handle the needed computations.
Abstract Format
html
Language
English
Format
Accession Number
TU06092
Shelf Location
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
Physical Description
130 leaves
Keywords
Regression analysis; Log-linear models; Linear programming; Matrices
Recommended Citation
Irlandez, R. M. (1984). Introduction to multiple linear regression analysis. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/16082
