2024年4月23日发(作者：)

did基本回归公式

English Answer：

Definition of Basic Regression Formula.

The basic regression formula is a mathematical equation

that describes the relationship between a dependent

variable (y) and one or more independent variables (x). It

is commonly used in statistical modeling to predict the

value of the dependent variable based on the values of the

independent variables.

Formula.

The basic regression formula is:

y = β0 + β1x + ε。

where:

y is the dependent variable.

x is the independent variable.

β0 is the y-intercept.

β1 is the slope.

ε is the error term.

Interpretation.

The y-intercept (β0) represents the value of the

dependent variable when the independent variable is equal

to zero. The slope (β1) represents the change in the

dependent variable for each unit change in the independent

variable. The error term (ε) represents the random

variation in the dependent variable that is not explained

by the independent variable.

Assumptions.