MACHINE LEARNING

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APPLICATION OF SUPERVISED LEARNING

LINEAR REGRESSION

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
A regression model in which more than one independent variable is used to predict the dependent variable is called as ____
A
a simple linear regression model
B
a multiple regression model
C
an independent model
D
None of the above
Explanation: 

Detailed explanation-1: -Multiple linear regression (MLR), also known simply as multiple regression, is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

Detailed explanation-2: -Multiple regression generally explains the relationship between multiple independent or predictor variables and one dependent or criterion variable. A dependent variable is modeled as a function of several independent variables with corresponding coefficients, along with the constant term.

Detailed explanation-3: -Multiple regression analysis is used when two or more independent variables are used to predict a value of a single dependent variable. The values of b1, b2, and b3 in a multiple regression equation are called the net regression coefficients.

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