How does a linear Model look like?

A linear model represents the relationship between a dependent variable and one or more independent variables using a linear equation. In its simplest form, the equation is expressed as ( y = mx + b ), where ( y ) is the dependent variable, ( m ) is the slope (indicating the change in ( y ) for a unit change in ( x )), ( x ) is the independent variable, and ( b ) is the y-intercept (the value of ( y ) when ( x = 0 )). Graphically, a linear model appears as a straight line on a Cartesian plane. In multiple linear regression, the model extends to multiple predictors, represented as ( y = b_0 + b_1x_1 + b_2x_2 + ... + b_nx_n ).