Open AccessApplication of Correlation-Regression Method to Correlate the Statistical Relationship between the Parameters of Some Indexed Journals
Author(s) -
Pradeep Kumar
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a9637.109119
Subject(s) - statistics , scatter plot , regression analysis , correlation , correlation coefficient , regression , linear regression , pearson product moment correlation coefficient , regression diagnostic , mathematics , econometrics , statistical analysis , polynomial regression , geometry
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.