Correlation coefficient

Correlation coefficient (r) is an index of association between continuous variables. The coefficient • r ' may have values ranging from + 1 to — 1. r = +1 corresponds to a rectilinear relationship (of the form y=a+bx) in which the two variables are positively related. r=—1 corresponds to a rectilinear relationship (of the form y=a-bx) in which the two variables are negatively related. Values of' r ' near -f 1 (or—1) indicate an approach to a rectilinear relationship. But intermediate values of ' r ' are more difficult to interpret (Parker, 1973). Values of ' r ' near zero may arise under two conditions : 1. when there is no relationship and 2. when there is a real relationship but it is curvi-linear

Dry Weight,Water and Ash contents

The wet (fresh) tissue is allowed to dry by keeping it in a desiccator.The difference between the wet weight of the tissue and its dry weight gives the amount of water present in the fresh -tksu4P(Paft»oneaii & Williams;1 1953 ; Mullainadhan, 1979).On1 heating the dry material to higher temperature (550-600°C)all the organic constituents are burnt leaving only the inorganic , constitueats in the form of ash

Tests of significance for regressions

This is a method of testing the significance of regression.The regression slopes of two dependent variables can be compared by F-test

Regression (y=a+bx)

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 ' y-intercept', 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)

Blood Volume

the principle underlying the methodology of blood volume determination involves the determination of degree of dilution of an injected dye by comparing the concentration of the injected dye and the concentration of the dye in the blood after a particular period of injection. The degree of dilution reflects blood volume (Lee, 1961)

Not Available

Not AvailableThe wet (fresh) tissue is allowed to dry by keeping it in a desiccator.The difference between the wet weight of the tissue and its dry weight gives the amount of water present in the fresh -tksu4P(Paft»oneaii & Williams;1 1953 ; Mullainadhan, 1979).On1 heating the dry material to higher temperature (550-600°C)all the organic constituents are burnt leaving only the inorganic , constitueats in the form of ash.Not Availabl

Not Available

Not AvailableCorrelation coefficient (r) is an index of association between continuous variables. The coefficient • r ' may have values ranging from + 1 to — 1. r = +1 corresponds to a rectilinear relationship (of the form y=a+bx) in which the two variables are positively related. r=—1 corresponds to a rectilinear relationship (of the form y=a-bx) in which the two variables are negatively related. Values of' r ' near -f 1 (or—1) indicate an approach to a rectilinear relationship. But intermediate values of ' r ' are more difficult to interpret (Parker, 1973). Values of ' r ' near zero may arise under two conditions : 1. when there is no relationship and 2. when there is a real relationship but it is curvi-linear.Not Availabl

Not Available

Not AvailableThis is a method of testing the significance of regression.The regression slopes of two dependent variables can be compared by F-test.Not Availabl

Not Available

Not AvailableIn 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 ' y-intercept', 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).Not Availabl

Not Available

Not Availablethe principle underlying the methodology of blood volume determination involves the determination of degree of dilution of an injected dye by comparing the concentration of the injected dye and the concentration of the dye in the blood after a particular period of injection. The degree of dilution reflects blood volume (Lee, 1961).Not Availabl