SALES FORECAST MODELING BASED ON CORRELATION AND REGRESSION METHODS

Chertov M.; Antsiferova V.

doi:doi:10.34220/MAMSP_185-191

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SALES FORECAST MODELING BASED ON CORRELATION AND REGRESSION METHODS

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SALES FORECAST MODELING BASED ON CORRELATION AND REGRESSION METHODS

Section: SECTION 1. SYSTEM ANALYSIS, MANAGEMENT, INFORMATION PROCESSING

Proceedings: MATERIALS OF THE ALL-RUSSIAN SCIENTIFIC AND PRACTICAL CONFERENCE "MODERN ASPECTS OF MODELING SYSTEMS AND PROCESSES"

UDK 51 Математика

Chertov M. ¹

Antsiferova V. ²

Author and publication information

Authors:

1. Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation

2. Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation

Type:

Сonference article

DOI:

https://doi.org/10.34220/MAMSP_185-191

Published:

10.12.2021

Subject area:

UDK 51 Математика

Language:

Russian

Keywords:

correlation, regression, planning, sales forecast, DBMS, queries, SQL, data, Pearson correlation criterion

Abstract and keywords

Abstract (English):
The presented article explores the methods of correlation and regression analysis, developed its own algorithm for obtaining the initial data of interest, and also presents the calculation algo-rithm for the law of change in sales volumes. Based on the presented calculations, the errors of the correlation coefficients and the results of the regression analysis were calculated.

Keywords:
correlation, regression, planning, sales forecast, DBMS, queries, SQL, data, Pearson correlation criterion

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References

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