Correlation, linear regression and path analysis of grades in selected physical science courses of UPCA BSA graduates from 1965-1969

Date

1970

Degree

Bachelor of Science in Agriculture

College

College of Arts and Sciences (CAS)

Adviser/Committee Chair

Mariano B. de Ramos

Abstract

Moderate positive significant (at 1% and 5% level) simple correlation coefficients (027272 to 0.52922) were observed from the analysis of grades in physical science coursed required for all UPCA BSA undergraduates. Similarly, moderate positive significant multiple correlation coefficients were exhibited by the correlation of grades in Soils 1 with the grades in chemistry 1 and chemistry 2 considered collectively (R=0.4221); and an average correlation of 0.5038 was observed from the correlation of the Engineering courses (Engineering 40, 60 and 70) with the grades in Mathematics 11, Mathematics 14, Physics and physics 22 considered collectively. It showed a uniform tread of multiple correlation. Regression analysis showed low regression coefficients. Low but significant (at 5% level) regression coefficients were exhibited by chemistry 1 and chemistry 2 in the predicting equation for Soils 1. It showed that the two prerequisites course were relatively efficient predictors for the grade in soils 1. In the predicting equation for Engineering 40, only Mathematics 11 and Physics 22 showed relatively significant (at 5% level) regression coefficient, Similarly, only two courses namely Mathematics 14 and Physics 21 exhibited low but significant regression coefficients in the predicting equation for Engineering 70. The prerequisites courses for Engineering 60 were inefficient predictors as exhibited by its insignificant regression coefficients. Mathematics 11 was observed to be an efficient predictor for the grade in Statistics 11, having a moderate significant regression coefficient of 0.30027. Although some of the courses were classified as relatively efficient predictors, still the computed efficiency of prediction was rather low. Path coefficient estimated by the standardized partial regression coefficient depicted causality of the relation of the prerequisites courses to higher physical science courses. Path analysis postulates that certain courses are causes of variation in the other courses. Low path coefficients were observed. Variation in Soils 1 could be attributed to variation in the grades in Chemistry and Chemistry 2, Likewise, variation in Mathematics 11 and 14, Physics 21 and 22 showed low path coefficients as prerequisites courses for the Engineering courses. Therefore, prediction of grades from the grades in the prerequisites subjects was relatively unreliable.

Language

English

Location

UPLB Main Library Special Collections Section (USCS)

Call Number

Thesis

Document Type

Thesis

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