000 02876nam a2200325 a 4500
003 OSt
005 20230118101218.0
008 070510s19uu xx 00 eng d
040 _cCvSU Main Campus Library
041 0 _aeng
082 0 4 _a519.5
_bP41M 2005
100 0 _aPerez, Hydie Grace L.
_eauthor
_931854
245 1 0 _aA Multiple linear regression analysis on coffee production and income dynamics of farmers in Amadeo, Cavite /
_cHydie Grace L. Perez and Celi Danica M. Sagun.
260 0 _aIndang, Cavite :
_c2005.
_bCavite State University- Main Campus,
300 _axiv, 62 pages :
_billustrations ;
_c28 cm.
336 _2rdacontent
_atext
337 _2rdamedia
_aunmediated
338 _2rdacarrier
_avolume
500 _aSpecial Problem (BS Applied Mathematcs - - Statistics) Cavite State University.
504 _aIncludes bibliographical references.
508 _aCollege of Arts and Science (CAS)
520 3 _aPEREZ, HYDIE GRACE and CELI DANICA SAGUN. Multiple Linear Regression Analysis on Coffee Production and Income Dynamics of Farmers in Amadeo, Cavite. Undergraduate Special Problem. Bachelor of Science in Applied Mathematics. Cavite State University, Indang Cavite. April 2005. Adviser: Mrs. Gemma S. Legaspi. The study was conducted by interviewing selected coffee farmers from different barangays of Amadeo, Cavite, The study covered only the years 2003 and 2004 period of coffee production in the said area. It aimed to formulate multiple linear regression model that best describes the factors that contribute to the variation in coffee production and income of coffee farmers. The final model for coffee production was expressed as Amount of Coffee Produced = 22.408 + 27.791 x farm size + 5.069 x amount of fertilizer + 17.384 x government policies The regression model showed that the farm size, amount of fertilizer and government policies affected the amount of coffee produced. The final model for the farmers' income was given by Farmers' Income = 6756.630 + 0.806 x Price of Fertilizer + 0.216 x Amt of Capital - 3418.054 x Problem in Income Generation (Lack of capital) The regression model showed that the price of fertilizer, amount of capital, and problems affecting the income generation affected the farmers' income. It is further recommended that neighboring towns of Cavite be considered, and more predictor variables be included
541 _cSubmitted to the University Library
_d07/18/2007
_eSP-3001
650 0 _aStatistics
_9288
690 _92526
_aBachelor of Science in Applied Mathematics
_xStatistics
700 _aSagun, Celi Danica M.
_931855
_eauthor
700 _aLegaspi, Gemma S.
_931856
_eadviser
856 _p80
_yClick here to view thesis abstract and table of contents
_uhttp://library.cvsu.edu.ph/cgi-bin/koha/opac-retrieve-file.pl?id=42bcfa3d43fbe9a460a36992c9cce15f
942 _2ddc
_cMAN
999 _c4269
_d4269