A Multivariate Linear Regression Algorithm for Cost Analysis

A multiple linear regression and cost analysis technology, applied in the field of cost analysis, can solve problems such as large price impact, difficulty in price changes, and difficulty in production and operation, and achieve the effect of convenient use and clear and intuitive analysis results.

Pending Publication Date: 2019-03-15
江苏税软软件科技有限公司
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Problems solved by technology

[0002] The production link of the production-oriented industry is a closed production process with complex processes. It is difficult for tax officials to accurately grasp the production and operation of this industry
[0003] Moreover, the products in this industry have a wide range of applications, and raw materials and energy technologies have a greater impact on prices, making it difficult for tax officials to accurately grasp price changes.

Method used

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  • A Multivariate Linear Regression Algorithm for Cost Analysis
  • A Multivariate Linear Regression Algorithm for Cost Analysis
  • A Multivariate Linear Regression Algorithm for Cost Analysis

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Embodiment Construction

[0043] In order to make the technical solutions of the present invention clearer and clearer to those skilled in the art, the present invention will be further described in detail below in conjunction with examples, but the embodiments of the present invention are not limited thereto.

[0044] The multiple linear regression algorithm applied to cost analysis provided by this embodiment includes the following steps:

[0045] Step 1: Establish a database to subdivide, organize and classify the cost of raw materials, electricity, gas, etc., office supplies consumption, worker wages, and loss of fixed assets.

[0046] Step 2: Substitute the data in the database into the multiple linear regression equation to establish the basis for data analysis;

[0047] Step 3: Establish a data source description, which includes external data and internal data;

[0048] Step 4: Calculate and analyze the process and model results through the model. The model results include observed values, inde...

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Abstract

The invention discloses a multivariate linear regression algorithm applied to cost analysis, belonging to the technical field of cost analysis, comprising the following steps: establishing a database,subdividing, sorting and classifying the cost of raw materials, electricity and gas, consumption of office supplies, wages of workers, cost of fixed assets consumption, etc.; The data in the databaseare substituted into the multiple linear regression equation, and the basis of data analysis is established. Establish a description of data sources, both external and internal; Through the model calculation and analysis process and model results, the model results include observation value, index value, prediction value, residual and standard residual; The method includes regression statistics,variance analysis and regression parameter table. The invention uses multiple linear regression as an analysis tool to study the relationship between each main cost and the total cost, and reasonablyanalyze and predict the total cost according to the variation trend between the consumption amount of each unit cost and the total cost.

Description

technical field [0001] The invention relates to a multiple linear regression algorithm, in particular to a multiple linear regression algorithm applied to cost analysis, and belongs to the technical field of cost analysis. Background technique [0002] The production link of production-oriented industries is a closed production process with complex processes. It is difficult for tax officials to accurately grasp the production and operation conditions of this industry. [0003] Moreover, products in this industry have a wide range of applications, and raw materials and energy technologies have a greater impact on prices, making it difficult for tax officials to accurately grasp price changes. [0004] In data statistics and analysis, the method of linear regression is often used. Linear regression is a statistical method that uses regression analysis in mathematical statistics to determine the quantitative relationship between two or more variables that depend on each other....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06Q10/04G06Q40/00
CPCG06F17/18G06Q10/04G06Q40/123
Inventor 陶伟
Owner 江苏税软软件科技有限公司
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