Analysis on the Influencing Factors of China's Export Based on Multiple Regression Model

Liang, Changzhou

doi:10.1145/3495018.3501198

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…The data were analyzed by multiple regression using Python and the results are shown in Tables 1 and 2. In order for the data to be brought into Equation (2), the data for the independent variables Marketing Spend, Administration, and Transport need to be normalized. Using Min-Max standardization, the raw data is linearly transformed so that all variables take values between [0, 1].…”

Section: Initial Multiple Regression Analysismentioning

confidence: 99%

Exploring Factors Affecting Store Operating Profit Using Multiple Regression

Sun

2024

HBEM

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The aim of this paper is to increase the profit of the company more efficiently. With the continuous development of science and technology and big data at this stage, the degree of influence of Marketing Spend, Administration, Transport and Area factors on Profit is quantified through the use of multiple linear regression models. This article is a linear regression analysis using the operational data collected from Kaggle for a company's 50 shops in 3 regions. Through the analysis, the model has a good fit and significant linear relationship, which can predict the future profit of the enterprise. At the same time, the model can also guide the enterprise how to improve the operating profit more efficiently, which has a certain guiding effect on the development of business operations. Based on the results, it can be seen that Marketing Spend has the greatest impact on the enterprise's profit.

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Section: Initial Multiple Regression Analysismentioning

confidence: 99%

Exploring Factors Affecting Store Operating Profit Using Multiple Regression

Sun

2024

HBEM

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“…Gross Domestic Product (GDP) represents the total value of goods and services produced within a country or region and is a crucial indicator for assessing economic conditions, development, competitiveness, and growth potential. [1] Economic development varies among countries due to differences in economic scale, structure, and geographic location. [2] This study focuses on the BRICS countries to assess their economic development stages, aiming to provide targeted guidance for economic policies and resource allocation.…”

Section: Introductionmentioning

confidence: 99%

Prediction of GDP in the BRICS Countries Based on the Proportions of Industry and Agriculture

Guo,

2024

Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023

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In the realm of gross domestic product(GDP) research, the multiple regression model has garnered significant academic attention due to its ability to comprehensively consider various factors and its exceptional predictive performance. This study explores multidimensional GDP-related data and introduces a novel model to explain GDP, focusing on its relationship with the proportion of a country's industrial and agricultural output. To analyze the interaction between a nation's economic condition and its economic structure, we employ both static and dynamic research methods. We first decompose GDP into four components and select five countries with similar economic development stages for our analysis. We then use GDP as a measure of economic growth and conduct an indepth analysis by creating scatter plots illustrating the relationship between the proportion of agriculture and industry in GDP. Finally, we construct a multivariate nonlinear regression model to examine the relationship between GDP and the proportion of industrial and agricultural output. The research findings reveal that our proposed GDP-industrial and agricultural proportion model has undergone rigorous significance testing and demonstrates strong explanatory capability. This study effectively elucidates the strong connection between GDP and a country's economic structure, providing a robust theoretical basis for shaping national policies aimed at adjusting economic structure and further fostering GDP development.

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Analysis on the Influencing Factors of China's Export Based on Multiple Regression Model

Cited by 2 publications

References 2 publications

Exploring Factors Affecting Store Operating Profit Using Multiple Regression

Exploring Factors Affecting Store Operating Profit Using Multiple Regression

Prediction of GDP in the BRICS Countries Based on the Proportions of Industry and Agriculture

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