2. You are given the following data of marks obtained by 11 students in statistics in two tests, one before and other after a special coaching. Evaluate the rank correlation coefficient and comment on its value. First 20 21 23 Test(before coaching) Second Test( After coaching) 19 18 18 18 17 23 16 19 22 18 20 22 20 22 20 23 20 17 20 20 20 19 24

Q: confuse

A: Solution We plot scatter plot by excel

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Q: ID Alcohol Tobacco 01 02 6.47 4.03 3.76 6.13 03 6.19 3.77 04 4.89 3.34 05 06 5.63 3.47 4.52 2.92 07…

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Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related. 

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.