RESEARCH METHODOLOGY

Detailed explanation-1: -Multiple regression is a statistical technique that can be used to analyze the relationship between a single dependent variable and several independent variables. The objective of multiple regression analysis is to use the independent variables whose values are known to predict the value of the single dependent value.

Detailed explanation-2: -Answer and Explanation: In regression analysis, a simple linear regression equation assumes only two variables with one independent variable and one dependent variable. However, in multiple regression analysis, the dependent variable is regressed on more than one independent variable.

Detailed explanation-3: -The Regression Equation A line in a two dimensional or two-variable space is defined by the equation Y=a+b*X; in full text: the Y variable can be expressed in terms of a constant (a) and a slope (b) times the X variable.

Detailed explanation-4: -Multicollinearity is the occurrence of high intercorrelations among two or more independent variables in a multiple regression model.