THE CORRELATION-REGRESSION MODELS USAGE AS A WAY TO INCREASE OF LABOR PRODUCTIVITY

Ihor Shkola, Oksana Petraschak, Zoran Čekerevac
2014 MEST Journal  
The relationships between various factors and labor productivity are analyzed in the article. Analysis of labor productivity in the furniture enterprises Chernivtsi region is held. The correlation and regression analysis are conducted to select the factors that affect the change in labor productivity on the basis of financial reporting. The combination of variables is used for predicting values that can take the dependent variable, and calculated at a given set of values of input variables
more » ... nput variables received. The multifactor regression models for enterprises furniture industry based on correlation analysis are created. The equation for the regression coefficients, which express the dependence of productivity growth factor sign are folding. The substantiated conclusions on the quantitative relationship between the level of labor productivity and organizational-economic factors are made. The similar and distinctive signs in regression models are revealed. The proposed models are appropriate for enterprises of all industries with the similar input parameters. Keywords: labor productivity, number of employees, the rate of staff turnover, payroll, allowances and surcharge, correlation-regression models. Shkola I., Petraschak O. Use of correlation-regression models for productivity increase Chart 1 Graphical interpretation of the comparison of actual labor productivity and performance model for enterprise in group C (Source: Compiled by the author O. Petrashchak) Chart 2 Graphical interpretation of the comparison of actual labor productivity and performance model for of enterprises group B (Source: Compiled by the author O. Petrashchak) Shkola I., Petraschak O. Use of correlation-regression models for productivity increase
doi:10.12709/mest.02.02.01.01 fatcat:lwcw3af7gje5tkgranfnjmnuwy