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International Journal of Statistika and Mathematika, ISSN: 2277- 2790 E-ISSN: 2249-8605

Volume 6, Issue 2, June 2013 pp 101-104

Research Article

Correlation and Regression Analysis to study the Variables Affecting the Technological Gapin Sericulture Production

 

Dakhani N.T.1, Sananse S.L.2, Hake D.A.3

{1Research Scholar, 2Associate Professor} Department of Statistics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (MS), 431004, INDIA.

3Sericulture Development Officer, Sericulture Dept., Govt. of Maharashtra, Aurangabad, Maharashtra, INDIA.

Academic Editor:  Dr. Dase R.K.

Abstract

The correlation and Regression analysis has many applications in agricultural science.Here the these techniques wereused to estimate the technological gap in adoption of sericulture practices by the farmers and to identify important personal and socio economic characters which affect the technological gap in production. Thirteen independent variables were selected for the analysis. The correlation analysis indicated that the dependent variable “technological gap” exhibited negative and significant relationship with education, social participation, and experience in sericulture farming, cosmopoliteness, risk preference, extension contact, knowledge, economical motivation, annual income and area under mulberry cultivation of the sericulturists. This clearly indicated that due to increase in the levels of these variables, the technological gap in production reduced significantly. The multiple correlation and regression indicated that that a set of 13 independent variables under study had explained 89.80 percent variation in composite technological gap whereas remaining 10.20 percent variation might be due to the factors not included in the study.

 
 
 
 
 
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