Question

You fit the following regression models:

Model 1: Y=a+bx1+cx2+dx3+h4
​Model 2: Y=a+bx1+cx2+dx3
​Model 3: Y=a+bx1+cx2
​

Answer 1

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. The equation of a linear regression model is Y = a + bx.

Step-by-step explanation:

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. In this case, we have three regression models: Model 1 with three independent variables, Model 2 with two independent variables, and Model 3 with only one independent variable. The equation of a linear regression model is of the form Y = a + bx, where 'a' is the y-intercept, 'b' is the slope of the regression line, and 'x' is the independent variable.