compare between simple regression and multiple regression in tabular form
Answers
Explanation:
Simple linear regression” is the term used to describe the process of finding a “best fit line” that models the relationship between two variables with a straight line. Typically, one of the variables is designated as the independent variable, usually denoted by X. The other is the dependent variable denoted by Y. This language reflects an assumption that X holds predictive value for Y, that is, knowing X gives you information about what Y is, or rather, what the distribution of Y is at a particular X value. An equation representing this relationship is derived from the data and given in the form Y=b0 + b1X, which is the equation of a straight line (hence: linear).
“Multiple regression” simply means that there are more X variables (independent variables) used in the prediction of Y. For k variables, an equation is derived of the form Y=b0+b1X1+b2X2+…+bkXk. This is still a linear equation.