Multivariate correlation analysis method to study the relationship between plantation inventory indicators.
Authors:
Collection of articles "Геоэкология", the Forestry University of Saint Peterburg named C.M. Kirov, Russian Federation
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Publishing year: 2019
The paper analyzes the need to use multivariate correlation analysis. Stages of multivariate correlation analysis. Selection rules for the correlation model. Justification of the required size of data samples for correlation analysis. Collect and evaluate baseline information. The proof of communication equations. The main indicators of communication in the analysis of correlation and their interpretation. The nature of the correlation coefficients and determinations are paired (generalized), partial and multiples. Evaluate the significance of the correlation coefficients. Process of calculating multiple regression equation by step method. Explain its parameters. Assign normalized elasticity and betta coefficients.
