Paulraj, S and Mullainadhan, P (1981) Regression (y=a+bx). CMFRI Special Publication (7). p. 161.

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Abstract
In regression, the relationship of one variable with another is estimaed by expressing the one in terms of the linear function of the other. It is different from correlation (r) in that, in correlation the degree to which the two variables vary together is estimated. In both regression and correlation the values are continuous. The functional relationship in regression is a mathematical relationship which enables to predict the value of a variable y which corresponds to a given variable x. The relationship is determined by y=a+bx in which y is the function of x and is called the dependent variable, x the independent variable. By this formula when the independent variable (x) equals zero, the dependent variable equals' a'. This point is the intersection of the function line with the y axis which is called as ' yintercept', and * b ' refers to the slope or the gradient of the function y=a+bx. ' b ' is called the regression coefficient and the formula is referred to as regression equation (Sokal & Rohlf, 1973).
Item Type:  Article 

Uncontrolled Keywords:  Regression (y=a+bx); Crustacean Biochemistry and Physiology 
Subjects:  Crustacean Fisheries Fish and Fisheries > Biochemical Study 
Divisions:  Contributors CMFRIKochi > Marine Capture > Crustacean Fisheries Subject Area > CMFRI Brochures > CMFRIKochi > Marine Capture > Crustacean Fisheries CMFRIKochi > Marine Capture > Crustacean Fisheries 
Depositing User:  Geetha P Mrs 
Date Deposited:  24 Sep 2010 06:10 
Last Modified:  09 Sep 2015 15:21 
URI:  http://eprints.cmfri.org.in/id/eprint/3317 
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