<prompt> The regression between height and age follows yabx. The curve isHyperbolaSigmoidStraight lineparabola  <response>: Ans. is c straight line Regression:If two variables are highly correlated, it then becomes possible to predict the value of the dependent variable from the value of the independent variable by using regression technique .Regression analysis is the mathematical modelling to describe the effect that one or more independent variables have on a dependent variable.Types:Linear regression: The value of one variable X is used to predict the value of the other variable Y by means of a simple mathematical formula. In linear regression the dependent variable Y depends upon a single independent variable X.The linear regression equation takes the form as the equation for any straight line. y a bx where - a is a constant ka intercept constant b is the regression coefficient x is the independent variable.y is the dependent variable whose value is to be found out.Multiple regression: More than one variable is used to predict the expected value of Y.Y a b1X1 b2x2 b1x1 where a intercept constantb regession coefficient for independent variable X1 eg. Rubin found that the birth weight of a baby Y in grams can be partially predicted from the no. of cigarettes smoked on the daily basis by both the babys mother and the babys father X2. According to multiple regression equation Y 3385 - 9x1 - 6x2Nonlinear regression: Involves more complicated mathematical forms, including logarithmic functions. 