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Correlation and regression using VASSAR STATS

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Title Correlation and regression using VASSAR STATS
Not Available
 
Creator Suma AP
Suresh KP
 
Subject Correlation
Regression
Multiple Correlation
Partial Correlation
Rank Order Correlation
Confidence Interval
Significance of Correlation coefficient
 
Description Not Available
In a bivariate or a multivariate data, to understand the association between the variables Correlation is the best tool. It gives the degree of relationship between the variables. Regressiongives the exact linear relationship between the variables. This article gives details of capabilities of VassarstatsCorrelationand Regressionand procedure to calculate Correlation coefficient and Regression coefficients with examples. VassarstatsCorrelation and Regressioncan perform Linear Correlation and Regression, Intercorrelations, Multiple Correlation and Regression, Partial Correlation, 0.95 and 0.99 Confidence intervals for population correlation coefficient, Estimating the Population Value of rho, Significance of value of r, Significance of difference between two correlation coefficients, Significance of difference between sample correlation coefficient and hypothetical value of population Correlation coefficient, Rank Order Correlation, Correlation coefficient for a 2*2 contingency table, Point biserial correlation coefficient, Correlation for unordered pairs, and then Simple Logistic Regression.
Not Available
 
Date 2018-11-06T08:52:26Z
2018-11-06T08:52:26Z
2016-05-01
 
Type Research Paper
 
Identifier Not Available
2455-2526
http://krishi.icar.gov.in/jspui/handle/123456789/9573
 
Language English
 
Relation Not Available;
 
Publisher Institute of Research Advances