Correlation Analysis | CA Foundation | Correlation and Regression | Statistics | As Per New Scheme
CA Foundation Grooming Education
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Correlation Analysis | CA Foundation | Correlation and Regression | Statistics | As Per New Scheme
14 322 просмотра · 5 лет назад
CA Foundation Grooming Education
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14 322 просмотра · 5 лет назад
Correlation Analysis | CA Foundation | Correlation and Regression | Statistics | As Per New Scheme
In this Video We Will Discuss Correlation Analysis all Concepts, Examples, and Problems in Correlation and Regression for CA Foundation have been Discussed by Chandan Poddar Sir for CA Foundation Grooming Education.
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Topics Covered in this Video:-
00:00 Meaning of Correlation
04:42 Methods of computing correlation
12:11 Spearman's rank correlation 1
21:12 Spearman's rank correlation 2
32:24 Spearman's rank correlation 3
37:24 Karl Pearson coefficient of correlation (Direct method)
48:48 Karl Pearson correlation of correlation (Assuming method)
01:21:54 Correlation exclusive question 1
01:42:45 Coefficient of determination
Topic Covered:
Meaning of Correlation
Methods of computing correlation
Spearman's rank correlation 1
Spearman's rank correlation 2
Spearman's rank correlation 3
Karl Pearson correlation 1
Karl Pearson correlation 2
Correlation exclusive question 1
Correlation exclusive question 2
Correlation and regression coefficient of concurrent deviations.
Correlation in the case of linear equation
Coefficient of determination and non-determination
Spurious correlation
Correlation analysis:- Correlation analysis is a statistical method used to evaluate the strength of the relationship between two quantitative variables. A high correlation means that two or more variables have a strong relationship with each other, while a weak correlation means that the variables are hardly related. In other words, it is the process of studying the strength of that relationship with available statistical data. This technique is strictly connected to the linear regression analysis that is a statistical approach for modeling the association between a dependent variable, called response, and one or more explanatory or independent variables. The aim of this work is to provide a general overview of correlation analysis in order to apply it to biomedical applications.
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