Correlation and regression using VASSAR STATS
KRISHI: Publication and Data Inventory Repository
View Archive InfoField | Value | |
Title |
Correlation and regression using VASSAR STATS
Not Available |
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Creator |
Suma AP
Suresh KP |
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Subject |
Correlation
Regression Multiple Correlation Partial Correlation Rank Order Correlation Confidence Interval Significance of Correlation coefficient |
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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 |
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Date |
2018-11-06T08:52:26Z
2018-11-06T08:52:26Z 2016-05-01 |
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Type |
Research Paper
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Identifier |
Not Available
2455-2526 http://krishi.icar.gov.in/jspui/handle/123456789/9573 |
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Language |
English
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Relation |
Not Available;
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Publisher |
Institute of Research Advances
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