BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Question: In a linear regression model, the variable (or variables) used for predicting or explaining values of the response variable are known as the . It(they) is(are) denoted by x. a. regression variable.

Detailed explanation-2: -Linear regression analysis is used to predict the value of a variable based on the value of another variable. The variable you want to predict is called the dependent variable. The variable you are using to predict the other variable’s value is called the independent variable.

Detailed explanation-3: -If y represents the dependent variable and x the independent variable, this relationship is described as the regression of y on x. The relationship can be represented by a simple equation called the regression equation.

Detailed explanation-4: -❖ The variable that is used to explain or predict the response variable is called the explanatory variable. It is also sometimes called the independent variable because it is independent of the other variable.

Detailed explanation-5: -Two Lines of Regression This is used to predict the unknown value of variable Y when value of variable X is known. On the other hand, the line of regression of X on Y is given by X = c + dY which is used to predict the unknown value of variable X using the known value of variable Y.