Application of Correlation-Regression Method to Correlate the Statistical Relationship between the Parameters of Some Indexed Journals
Pavan Kumar
Pavan Kumar, Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, (Andhra Pradesh), India.
Manuscript received on September 17, 2019. | Revised Manuscript received on October 05, 2019. | Manuscript published on October 30, 2019. | PP: 505-509 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9637109119/2019©BEIESP | DOI: 10.35940/ijeat.A9637.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper proposes an application of correlation regression method to establish the statistical relationship between acceptance rate & first decision time of some indexed journals. We collect the data from two web sources: Elsevier journal finder, and Springer journal suggester. In this problem, we concentrate on the data of the acceptance rate and first decision time. To examine the relationship between these measures, we apply a statistical approach, which is based on correlation and regression analysis. We determine the relative error of the data collected. We plot the scatter diagram between the two measures. Correlation coefficient value is also calculated, that checks the significant connection between the two variables. The correlation analysis and regression analysis demonstrate that there is a moderate positive correlation between acceptance rate & first decision time.
Keywords: First decision time, Acceptance rate, Linear Regression, Correlation.