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EVALUATING THE DYNAMICS OF FACTOR CONTRIBUTIONS IN A REGRESSION MODEL OF THE VOLUME OF LOADING BY RAIL TRANSPORT IN RUSSIA
Keywords:
regression model, quadratic programming problem, weighted least squares method, factor contributions, railway transportDOI:
https://doi.org/10.17654/0972361723006Abstract
The paper describes methods for assessing the dynamics of predictor significance in a linear regression model, involving either the solution of the quadratic programming problem or the use of the weighted least squares method. On the basis of the second approach, the dynamics of the contributions of independent variables for the model of the volume of loading by Russian railway transport has been estimated. The results of the functioning of alternative modes of transport in relation to the railway transport were used as independent variables: sea, road, inland water and pipeline.
Received: December 2, 2022
Accepted: December 26, 2022
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