# 英国论文不会写：线性多元回归

For all kinds of economical statistics and regression analysis, the simple regression model is considered. Among the regression relations and formulations, the linear regression model will be provided for the people. This is because, the linear regression model is considered to be the best and accurate model that gives exact values of output in all cases and strategies of analysis. For the perfect analysis, several essential models such as the dependent and the expanded variables are used.
A simple linear regression equation is given by,

This equation is used in all kinds of economic calculations that require regression as a part of examining tool.
To find several certain non-linear relationships, this linear regression model is introduced. But now, this mathematical statistic formula has become the most important part of regression and the economic analysis tool. But, here, the mechanisms of simple regression will not depend on the values of simple variables x and y. While considering the population model, the variables x and y are related to the dependent and the independent variables of the population model, and these values also relate to the error u. Here, the imaginary values β0 and β1are the respective population intercept and the slope parameters of the population model.
In some cases, multiple regressions are also allowed. These multiple regressions are useful in the methods of generalizing functional relationships between several real and imaginary variables.