In real life, for a correlation between the variables, we often can not be found as a function between them as the exact expression, but through a large number of trials (observational data, can be found between them there is a certain statistical regularity, mathematical statistics study of a random variable (the dependent variable and the other one or several common variables (independent variables change in the relationship between an effective way to regression analysis by the regression equation derived, called the regression equation regression equation for the line of as linear regression or a non-linear regression Linear regression is regression analysis of the basic model, a number of complex cases can be processed into a linear regression, for example, [1] discussion of the statistical understand and solve the problem of the importance of fire, the literature [2-3] using the linear regression model of the related fires.

Paper, for the 2003-2007 national fire-related statistics, the cost of damage caused by fire and the number of fires and burning buildings in the area of ??wounding analysis of the relationship between the establishment of a binary linear regression model.

2 Set the regression equation by qualitative analysis shows that the number of fire injuries in the more burning building, the more so the greater the economic losses caused, and if no one burns a fire, the house is not burned, there is no economy can be considered loss, therefore, can be installed binary linear regression analysis of the regression equation

3 to determine the regression coefficients would be given data set into the regression equation, and the least square method (see [4] to calculate the regression coefficient to determine the regression equation specific steps are as follows: Table 1 is known from 2003 to 2007, there were five data sets:

Calculated through the knowledge of calculus minimum value of Q, and even if the regression coefficients of Q on each partial derivative equal to zero, then the two simultaneous equations = 0, = 0 can solve for the regression coefficient b1 = 49.0119, b2 = 0.0033. Therefore, the return equation

r = is a test of the correlation coefficient R, the more it is close to 1, it shows the regression equation the independent variables and the dependent variable in the linear approximation of the higher, the smaller the error of the equation by calculating the availability of r = 0.9988 Therefore, equation (2 passed the relevant test, quantitative description of fire it can slander the number of burned area and direct economic losses of building relationships.

In addition, from the regression equation can also be seen, the number of fire injuries in front of the partial regression coefficient, mainly because statistics in burned building area of ??the higher numbers, and did not consider other aspects such as material losses in the fire , the economic losses. For the same dimension more than three variables, we can take the form, so

In order to reduce the losses and casualties caused by fire, we must focus on eliminating fire hazards, the proposed risk factors for the fire to take comprehensive preventive measures to strengthen urban public fire-fighting facilities and fire organizations, to increase fire safety publicity to raise people's awareness of fire safety and fire self-help knowledge and skills.

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