A regression analysis of factors affecting the variability of medicare benefits
Date of Publication
1992
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Applied Mathematics
College
College of Science
Department/Unit
Mathematics and Statistics
Abstract/Summary
Linear Regression Analysis is used by the researchers to be able to come up with a model which would predict the amount of medicare benefits by using factors that may significantly affect these. Included in these factors are the following: the type of hospital, the hospital class, room accommodation, number of days of confinement, room and board fees, amount of medicine bought, medical case, type of surgery administered, professional fees, medical expense benefits, and surgical services.The statistical package for the Social Sciences (SPSS/PC+) is used for efficient computation of the various statistical measures used in the study.
Abstract Format
html
Language
English
Format
Accession Number
TU05731
Shelf Location
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
Physical Description
110 leaves
Keywords
Regression analysis; Medical care--Mathematics; Variables (Mathematics)
Recommended Citation
Pernia, M. (1992). A regression analysis of factors affecting the variability of medicare benefits. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/15978
