Open AccessStatistical Relationship between Acceptance Rate and First Decision Time of Some Indexed Journals: A Correlation-Regression Technique
Author(s) -
Pradeep Kumar,
W. Sridhar
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l2569.1081219
Subject(s) - statistics , scatter plot , correlation , regression analysis , correlation coefficient , pearson product moment correlation coefficient , regression , linear regression , econometrics , statistical analysis , mathematics , computer science , geometry
In this paper, we propose a correlation-regression approach to establish a 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 (RE) of the data collected. We plot the scatter diagram between the two measures. Karl Pearson correlation coefficient (CC) value is also calculated. All this analysis demonstrates that there is a moderate positive correlation between acceptance rate & first decision time