Journal Name : TESS Research in Economics and Business

Gyeongsang National University, Metallurgical and Materials Engineering Department, Chinju 52828, Korea

Corresponding author: Xu R, Gyeongsang National University, Metallurgical and Materials Engineering Department, Chinju 52828, Korea; E-mail: 13953575073@163.com

Received date: 7 April 2022; Accepted date: 12 April 2022; Published date: 17 April 2022

Copyright: © 2022 Xu R. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Introduction

In modern society the welfare lottery ticket has been prevail more and more because the money is owned by people more. So the prediction modelling is established more to meet the demand of society. That the problem is to be solved is important and necessary. Therefore the prediction will satisfy the demand by all kinds of society. The linear least square method is a way to build the match with the data. It has strong function to decrease the deviation from the original data. Therefore in this study this method to be used to build the match functions to attain a new number. It is best way to solve the deviation of original number. So it is used in predicting number next [1-5]. Meeting the new number and then predicting tendency is our destination in this study. The method is the least square method for matching degree in 3D welfare lottery ticket in China.

Least Square Method and Discussion

It is supposed that the function f(X,Y)=0 is a linear equation. In order to find the specific relationship between lottery number and sequence from the physical meaning, the reason and correlation degree of the phenomenon of adequate match of them at lottery market is found out. So we use the least square method to calculate this linear regression equation. According to the least square method, we set the function f(X1, X2) =0, X1=sequence No. and X2=Lottery No., as following.

With these two formula it solves a and b value so the linear regression equation is solved too (Table 1) (Figure 1-3).

Table 1: The parameter arrangement in regression equation for lottery three numbers.

Parameters

Sequence

 x1 x2 a b Remarks
2022111 0 3
2022112 3 2
2022113 2 2
2022114 2 6
2022115 6 9 1.15 -1.67 First No
2022116 9 8
2022117 8 2
2022118 2 2
2022119 2 3
2022120 3 5
2022111 4 3
2022112 3 4
2022113 4 9
2022114 9 2
2022115 2 2 0.94 -1.70 Second No
2022116 2 1
2022117 1 8
2022118 8 6
202219 6 2
202220 2 0
202211 4 5
2022112 5 9
2022113 9 3
2022114 3 8
2022115 8 2 1.10 -3.19 Third .No
2022116 2 1
2022117 1 0
2022118 0 0
2022119 0 9
2022120 9 5

Figure 1: The graph of lottery first number and sequence in part of 2022.

Figure 2: The graph of lottery second number and sequence in part of 2022.

Figure 3: The graph of lottery third number and sequence in part of 2022.

In Table 1 the parameter arrangement for three numbers are exhibited. It has original X1 and X2 arrangement according to the 3D welfare lottery ticket with 10 pieces from 111 to 120 in 2021. In order to form line regressive equation for predicting next No. a and b has been built in terms of the above equations. In Figure 1 the one X2 for the first number according to the regression equation is approaching the actual one X2. It means the match is tendency here. The last one is the prediction with 4 that have been 5 actually. It explains the better prediction attained here since this is near mean. There is still big deviation in this figure like deviating largely with X2 regression and X2. it is further research like artificial intelligence through machine learning. From Figure 2 and Figure 3 the lottery second and third number and regression one matches good but time difference. It explains that if the difference is covered the very good result will be gained (Figures 4-6).

Figure 4: The prediction number and actual one for the first number in lottery.

Figure 5: The prediction and actual one for the second number in lottery.

Figure 6: The prediction number and actual number for the third one in lottery.

As seen in Figure 4~Figure 6 the prediction number for three numbers is near actual one within five continuous sequences. It explains that this prediction equation can meet the about 60% for continuous sequence in predicting 3D welfare lottery ticket in China. This is the biggest achievement in this paper and study.

Conclusion

The linear least square method is used to attain the regressive equation to predict the new number in next sequence. It is found that the better match happens in regression equation. The whole curve is a tendency fitting the original number with one sequence difference. Meantime’s the regressive equation with the least square method can predict the future number about 60% in sequence from 2022121 to 222130 in welfare lottery ticket. That is the biggest achievement in here.

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