scholarly journals SALES FORECAST MODELING BASED ON CORRELATION AND REGRESSION METHODS

2021 ◽  
Author(s):  
M. Chertov ◽  
V. Antsiferova
Keyword(s):  
Regression Analysis ◽  
Initial Data ◽  
Correlation Coefficients ◽  
Sales Forecast ◽  
Regression Methods ◽  
Correlation And Regression Analysis ◽  
The Law ◽  
Forecast Modeling

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.

scholarly journals Application of correlation and regression analysis in the selection of black-and-white cows

2021 ◽  
Vol 282 ◽  
pp. 07020
Author(s):  
I.M. Donnik ◽  
O.S. Chechenikhina
Keyword(s):  
Regression Analysis ◽  
Milk Yield ◽  
Statistical Processing ◽  
Correlation Coefficients ◽  
Milk Composition ◽  
Black And White ◽  
Correlation And Regression Analysis ◽  
Daily Milk Yield ◽  
Selection Of ◽  
Daily Milk

The use of the method of correlation-regression analysis as the most widespread method of statistical processing of experimental data makes it possible to organize the selection of animals according to the leading characteristics of productivity. A positive and high correlation was established between milk yield and milk yield in all groups of studied animals (r = from 0.64 to 0.90), and between milk yield in 305 days of lactation and the highest daily milk yield - only in groups of Reflection Sovering and Montvik Chieftain cows. (r = 0.65 to 0.92). Cows of the Vis Back Aydial line have higher correlation coefficients between indicators of milk composition (r = from 0.72 to 0.91, depending on the trait). The calculation of the regression coefficients showed that in the studied groups of animals with an increase in the coefficient of constancy of lactation, the coefficient of milk production and the indicator of the highest daily milk yield per unit, the amount of milk for 305 days of lactation increased by an average of 1.63 - 221.04 kg.

scholarly journals Identifying and analysing relation between economic security and efficiency of foreign economic activity in Astrakhan region

2019 ◽  
Vol 2019 (4) ◽  
pp. 49-58
Author(s):  
Dmitry Vitalyevich Bryantsev ◽  
Rufina Zagitovna Ilyasova
Keyword(s):  
Regression Analysis ◽  
Economic Activity ◽  
Trade Balance ◽  
Correlation Coefficients ◽  
Economic Security ◽  
Statistical Dependence ◽  
External Trade ◽  
Correlation And Regression Analysis ◽  
Security Indicators ◽  
The Relationship

The article focuses on the need to balance the interests of efficiency and security of the external economic activity of the Astrakhan region in terms of fierce international competi-tion. The importance of studying the external economic activity of the region is explained by the strategic importance of a borderline geopolitical position of the region. There have been formulated the hypotheses about the positive and negative statistical dependence between socio-economic factors of the region development and resulting figures of external trade of the region; the correlation coefficients between them are defined and interpreted. On the basis of correlation and regression analysis, a statistically significant relationship between the factors of external economic activity and of economic security of the Astrakhan region has been established. There are considered four stages of correlation and regression analysis of the external economic activity in ensuring the economic security of the region: determining the dependence of foreign trade on indicators of economic security in the Astrakhan region; determining the relationship between the volume of exports and indicators of economic security of the region; determining the dependence of the volume of imports on indicators of economic security of the region; determining the relationship between the trade balance and the economic security indicators of the Astrakhan region. The results of the correlation analysis are verified and confirmed by means of the determination coefficient, the value of Fisher F-curve, Student t-test and the standard error indicator. As a result, it has been proposed to use the industrial production index as an indicator of the state of efficiency and security of external economic activity of the region. Correlation and regression analysis was performed using Excel spreadsheets, graphical interpretations of the regression analysis are presented, the result matrix of the regression analysis of the trade balance of the Astrakhan region is presented.

Influence of technology parameters of free-cutting steel continuous casting on the billet internal structure

2020 ◽  
Vol 76 (2) ◽  
pp. 139-142
Author(s):  
A. T. Kunakbaeva ◽  
A. M. Stolyarov ◽  
M. V. Potapova
Keyword(s):  
Regression Analysis ◽  
Continuous Casting ◽  
Internal Structure ◽  
Sulfur Content ◽  
Manganese Content ◽  
High Quality ◽  
Correlation And Regression Analysis ◽  
Cutting Steel ◽  
Continuously Cast

Free-cutting steel gains specific working properties thanks to the high content of sulfur and phosphorus. These elements, especially sulfur, have a rather high tendency to segregation. Therefore, segregation defects in free-cutting steel continuously cast billets can be significantly developed. The aim of the work was to study the influence of the chemical composition of freecutting steel and casting technological parameters on the quality of the macrostructure of continuously cast billets. A metallographic assessment of the internal structure of cast metal made of free-cutting steel and data processing by application of correlation and regression analysis were the research methods. The array of production data of 43 heats of free-cutting steel of grade A12 was studied. Steel casting on a five-strand radial type continuous casting machine was carried out by various methods of metal pouring from tundish into the molds. Metal of 19 heats was poured with an open stream, and 24 heats – by a closed stream through submerged nozzles with a vertical hole. High-quality billets had a cross-sectional size of 150×150 mm. The macrostructure of high-quality square billets made of free-cutting steel of A12 grade is characterized by the presence of central porosity, axial segregation and peripheral point contamination, the degree of development of which was in the range from 1.5 to 2.0 points, segregation cracks and strips – about 1.0 points. In the course of casting with an open stream, almost all of these defects are more developed comparing with the casting by a closed stream. As a result of correlation and regression analysis, linear dependences of the development degree of segregation cracks and strips both axial and angular on the sulfur content in steel and on the ratio of manganese content to sulfur content were established. The degree of these defects development increases with growing of sulfur content in steel of A12 grade. These defects had especially strong development when sulfur content in steel was of more than 0.10%. To improve the quality of cast metal, it is necessary to have the ratio of the manganese content to the sulfur content in the metal more than eight.

Studying the factors of regional insurance market development using the correlation and regression analysis

2020 ◽  
Vol 26 (7) ◽  
pp. 1610-1630
Author(s):  
E.L. Prokop'eva
Keyword(s):  
Regression Analysis ◽  
Federal District ◽  
Insurance Market ◽  
Market Development ◽  
Insurance Markets ◽  
Regression Equations ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Country Level ◽  
Inverse Effect

Subject. The article investigates and quantifies factors of insurance markets functioning in Russian regions, and reveals possibilities to manage them. Objectives. The purpose of the study is to substantiate regional factors that determine the specifics of regional insurance market development; to quantify them to increase the efficiency of regional insurance. Methods. The study draws on statistical methods, functional analysis, algorithm development, correlation and regression analysis. Results. I calculated coefficients of pair and multiple correlation with the indicators of insurance markets in the context of the subjects of the Russian Federation, and composed regression equations. Based on the analysis, I determined the algorithm for inverse effect of the insurance market on the economic, social, fiscal and environmental performance of the region, offered appropriate measures aimed at developing the economic potential of the region and its social sphere. Conclusions. The paper considers the case of the Republic of Khakassia, one of depressed subjects in the Siberian Federal District. The developed models can be used for other regions of Russia, given the geographical and economic features of development. The findings may help generate regional strategies for socio-economic development at the country level. The scientific contribution and the novelty of the work consist of systematizing and quantifying the factors affecting the insurance mechanisms of regional markets, and assessing the inverse effect of insurance mechanisms on integrated development of the region.

Агрономическая эффективность промышленной (голландской) технологии возделывания картофеля

2018 ◽  
Author(s):  
C. Coy ◽  
A.V. Shuravilin ◽  
O.A. Zakharova
Keyword(s):  
Heavy Metals ◽  
Regression Analysis ◽  
Positive Response ◽  
Growth Yield ◽  
Correlation And Regression Analysis ◽  
Yield And Quality ◽  
Quality Of Products ◽  
High Degree ◽  
The Impact

Приведены результаты исследований по изучению влияния промышленной технологии возделывания картофеля на развитие, урожайность и качество продукции. Выявлена положительная реакция растений на подкормку K2SO4 в период посадки. Корреляционно-регрессионный анализ урожайности и качества клубней выявил высокую степень достоверности результатов опыта. Содержание нитратов и тяжелых металлов в клубнях было ниже допустимых величин.The results of studies on the impact of industrial technology of potato cultivation on growth, yield and quality of products. There was a positive response of plants to fertilizer K2SO4 in the period of planting. Correlation and regression analysis of yield and quality of tubers revealed a high degree of reliability of the results of experience. The contents of nitrates and heavy metals in tubers was below the permissible values.

Relationship between Coffee Prices in Spot and Futures Markets-An Empirical Analysis

2020 ◽  
pp. 180-188
Keyword(s):  
New York ◽  
Correlation Coefficients ◽  
Strong Relationship ◽  
Futures Market ◽  
Regression Coefficients ◽  
Futures Prices ◽  
Market Prices ◽  
Spot Prices ◽  
Correlation And Regression Analysis ◽  
Highly Correlated

The present study explored the relationship between spot and futures coffee prices. The Correlation and Regression analysis were carried out based on monthly observations of International Coffee Organization (ICO) indicator prices of the four groups (Colombian Milds, Other Milds, Brazilian Naturals, and Robustas) representing Spot markets and the averages of 2nd and 3rd positions of the Intercontinental Exchange (ICE) New York for Arabica and ICE Europe for Robusta representing the Futures market for the period 1990 to 2019. The study also used the monthly average prices paid to coffee growers in India from 1990 to 2019. The estimated correlation coefficients indicated both the Futures prices and Spot prices of coffee are highly correlated. Further, estimated regression coefficients revealed a very strong relationship between Futures prices and Spot prices for all four ICO group indicator prices. Hence, the ICE New York (Arabica) and ICE Europe (Robusta) coffee futures prices are very closely related to Spot prices. The estimated regression coefficients between Futures prices and the price paid to coffee growers in India confirmed the positive relationship, but the dispersion of more prices over the trend line indicates a lesser degree of correlation between the price paid to growers at India and Futures market prices during the study period.

Parent-offspring regression in meadow bromegrass (Bromus riparius Rehm.): Evaluation of two methodologies on heritability estimates

2004 ◽  
Vol 84 (1) ◽  
pp. 125-127
Author(s):  
Marcelo R. A. de Araujo ◽  
B. E. Coulman
Keyword(s):  
Regression Analysis ◽  
Block Design ◽  
Covariance Analysis ◽  
Regression Estimate ◽  
Regression Methods ◽  
Randomized Block Design ◽  
Bromus Riparius ◽  
Heritability Estimates ◽  
Analysis Error ◽  
Meadow Bromegrass

To determine the nature and extent of inflation of estimates of heritabilities by parent-offspring regression methods, 40 clones of meadow bromegrass (Bromus riparius Rehm.) and their half-sib progenies were studied in completely randomized block design trials, with six replications in Saskatoon and Melfort, Canada. Clones and progenies were evaluated for dry matter yield, seed yield, plant height, fertility index and harvest index. The results of the analysis showed a consistent inflation of heritability estimates derived from the simple parent-offspring regression, when compared to the regression estimate by variance-covariance analysis. The two methods successfully removed the environmental covariances from the estimates. However, in the simple regression analysis, error covariance was not removed from the numerat or; therefore, heritabilities estimated by this methodology were higher than those estimated by the variance-covariance method. It was concluded that estimates derived from variance-covariance analysis provide less biased estimates of heritability. Key words: Regression analysis, heritability, meadow bromegrass

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