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Application of SPSS Software in Preparing Correlation Matrix


Affiliations
1 Department of Chemistry, Gyan Ganga Institute of Technology and Management, Bhopal - 462 021, India
2 Saifia College of Science & Education, Bhopal- 462 001, India
 

A number of studies have already been carried out for the physic-chemical analysis of paper mill effluents which are generally using wood and non-wood (bamboo, baggage etc.) as fibrous raw material for paper manufacturing process. This study deals with a paper mill which is using cotton comber and cotton linter as raw material for paper manufacturing. Effluents generated in the paper mill at different stages were sampled and analyzed. The degree of relationship between the variables under consideration is measured through the correlation analysis. The effect of correlation is to reduce the range of uncertainty. The prediction based on correlation analysis is likely to be more valuable and near to reality.

Keywords

SPSS Software, Correlation Matrix, Covariance, Variance, Frequency.
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  • Application of SPSS Software in Preparing Correlation Matrix

Abstract Views: 255  |  PDF Views: 2

Authors

Vibha Agrawal
Department of Chemistry, Gyan Ganga Institute of Technology and Management, Bhopal - 462 021, India
Nilofar Iqbal
Saifia College of Science & Education, Bhopal- 462 001, India

Abstract


A number of studies have already been carried out for the physic-chemical analysis of paper mill effluents which are generally using wood and non-wood (bamboo, baggage etc.) as fibrous raw material for paper manufacturing process. This study deals with a paper mill which is using cotton comber and cotton linter as raw material for paper manufacturing. Effluents generated in the paper mill at different stages were sampled and analyzed. The degree of relationship between the variables under consideration is measured through the correlation analysis. The effect of correlation is to reduce the range of uncertainty. The prediction based on correlation analysis is likely to be more valuable and near to reality.

Keywords


SPSS Software, Correlation Matrix, Covariance, Variance, Frequency.