What is Multiple Regression?
Regression analysis is a powerful statistical tool for understanding the relationship between variables. One of the well-known regression techniques is Linear Regression, which deals with predicting a dependent variable using only one independent variable.
Multiple Linear Regression also known as Multiple Regression, is the prediction of the dependent variable using more than one independent variable. In simple words, it is a statistical technique used to analyze the relationship between a single dependent variable and multiple independent variables.
The equation of multiple regression is:
Y = b0 + b1 * x1 + b2 * x2 + b3 * x3 + …… bn * xn
Where,
Y -> dependent variable
x1, x2, x3, …… xn -> multiple independent variables
n -> number of features
b0 -> y- intercept
bn -> regression coefficient of nth feature
3D Multiple Regression Graph with rgl package in R
In this article, we are going to walk through the process of creating a 3D multiple regression graph using the rgl package in R programming language in detail.
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