Kuriakose, Somy and Sreepriya, V (2023) Correlation Analysis. In: Training Manual on Statistical Designs and Analytical Methods for Multifactor Experiments. ICAR- Central Marine Fisheries Research Institute, Kochi, pp. 19-29.
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Correlation Analysis_2023_Somy Kuriakose.pdf Restricted to Registered users only Download (1MB) | Request a copy |
Official URL: http://eprints.cmfri.org.in/17377/
Abstract
The correlation analysis enables us to have an idea about the degree & direction of the relationship between the two variables under study. It is used to assess the possible linear association between two variables. If there is any relation between two variables, i.e. when one variable changes, the other also changes in the same or in the opposite direction, we say that the two variables are correlated.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | correlation |
| Subjects: | Statistical Designs |
| Divisions: | CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division Subject Area > CMFRI > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division Subject Area > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division |
| Depositing User: | Arun Surendran |
| Date Deposited: | 14 Sep 2023 04:26 |
| Last Modified: | 14 Sep 2023 04:27 |
| URI: | http://eprints.cmfri.org.in/id/eprint/17445 |
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