The overall situation of the model is analyzed, including model fitting (R? ), whether it passed the F test, etc.

The test of regression first looks at anova's table, that is, F test, which represents a general test of the regression coefficients of all the independent variables you return. If the signature

Analyze the significance (P value) of X. If it is significant, it means that X has an influence on Y. If it is not significant, the variable should be excluded. Combined with the value of regression coefficient b, the influence degree of x on y is compared and analyzed. A positive value of B indicates that X has a positive influence on Y, and a negative value indicates a negative influence.

The main problems of regression analysis research are:

(1) The expression for determining the quantitative relationship between y and x is called regression equation;

(2) Test the reliability of the regression equation;

(3) judging whether the independent variable X has influence on the dependent variable Y;

(4) Using the obtained regression equation to forecast and control.

Reference to the above content: Baidu Encyclopedia-Regression Analysis