Modelling the output of farmers in Region IV-A (CALABARZON) using multiple linear regression
Date
5-2014
Degree
Bachelor of Science in Industrial Engineering
College
College of Engineering and Agro-Industrial Technology (CEAT)
Adviser/Committee Chair
Diana Marie R. De Silva
Restrictions
Restricted: Not available to the general public. Access is available only after consultation with author/thesis adviser and only to those bound by the confidentiality agreement.
Abstract
Factors affecting rice productivity in Region IV-A (CALABARZON) are examined in this study. Forty nine postulated factors were subjected to stepwise regression to isolate those which have significant effects on rice yield. A multiple linear regression model was formulated to identify which of the significant factors have the strongest effect on rice yield. The model was also used to determine the magnitude of the effect of the identified significant factors. The results of the study showed that technological factors have the strongest effect on rice yield. These would include irrigation (farm type), seed used and sources of power in harrowing and harvesting.
Language
English
Location
UPLB Main Library Special Collections Section (USCS)
Call Number
Thesis
Recommended Citation
Banaag, Limuel S., "Modelling the output of farmers in Region IV-A (CALABARZON) using multiple linear regression" (2014). Undergraduate Theses. 3800.
https://www.ukdr.uplb.edu.ph/etd-undergrad/3800
Document Type
Thesis