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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here
ICV 2022: 95.28
Index Copernicus ICI Journals Master List 2022 - IJCMAS--ICV 2022: 95.28
For more details click here
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Original Research Articles                      Volume : 8, Issue:3, March, 2019
PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
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Editor-in-chief: Dr.M.Prakash
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Int.J.Curr.Microbiol.App.Sci.2019.8(3): 950-953
DOI: https://doi.org/10.20546/ijcmas.2019.803.113


Analysis of Simple Correlation Coefficient by using Theoretical and MS-Excel Procedure for Gerebera (Plant Height and Plant Spread)
V. Sekhar1*, V. Srinivasa Rao2, K. Umakrishna1 and Ch. Satyavani3
1Department of Statistics
3College of Horticulture, Venkataramannagudem, Dr. YSR Horticultural University, West Godavari (District), Andhra Pradesh (State), India, PIN-534101
2Department of Statistics, Agricultural College, Bapatla, Acharya NG RangaAgricultural University, Guntur (District), Andhra Pradesh (State), India, PIN-522101
*Corresponding author
Abstract:

This work was attempted to find out simple correlation coefficient value between plant height and plant spread of 10 Gerebera plants. Correlation coefficient is applicable not only for Plant Height Vs Plant spread and it is applicable for plant yield Vs plant height, plant yield Vs infestation, fertilizer application Vs yield, price Vs demand of commodities, etc.


Keywords: Simple correlation coefficient, Karl Pearson correlation

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How to cite this article:

Sekhar, V., V. Srinivasa Rao, K. Umakrishna and Satyavani, Ch. 2019. Analysis of Simple Correlation Coefficient by using Theoretical and MS-Excel Procedure for Gerebera (Plant Height and Plant Spread).Int.J.Curr.Microbiol.App.Sci. 8(3): 950-953. doi: https://doi.org/10.20546/ijcmas.2019.803.113
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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