If we know the value of one variable in an individual and wish to know the value of another variable, we calculate -

REGRESSION: Is change in measurements of a variable Provides structure of relationship between 2 quantitative variables Regression Coefficient (b): Measure of change of one dependent variable (y) with change in independent variable (x) or variables (x1, x2, x3……) Equations of regression, y = a + b (x) y = a + b (x1) + c (x2) + d (x3), where y is a dependent variable and x, x1, x2, x3 are independent variables; a is a constant and b, c, d are regression coefficients Types of regressions: – Simple linear regression: Only one dependent variable and one independent variable – Multiple linear regression: Only one dependent variable and more than one independent variable – Simple curvilinear regression: Only one dependent variable and one independent variable, with some power of independent variable – Multiple curvilinear regression: Only one dependent variable and more than one independent variables, with some power of independent variables). Types of regression equations: