EDUCATION (CBSE/UGC NET)

Detailed explanation-1: -Karl pearson’s coefficient of correlation determines how strongly the two variables are related to each other i.e. measure the linear correlation between the variables.

Detailed explanation-2: -The correlation coefficient is measured on a scale that varies from + 1 through 0 to – 1. Complete correlation between two variables is expressed by either + 1 or-1. When one variable increases as the other increases the correlation is positive; when one decreases as the other increases it is negative.

Detailed explanation-3: -In statistical terms, correlation is a method of assessing a possible two-way linear association between two continuous variables. Correlation is measured by a statistic called the correlation coefficient, which represents the strength of the putative linear association between the variables in question.

Detailed explanation-4: -Pearson. The Pearson product-moment correlation coefficient, also known as r, R, or Pearson’s r, is a measure of the strength and direction of the linear relationship between two variables that is defined as the covariance of the variables divided by the product of their standard deviations.

Detailed explanation-5: -There are three types of correlation: Positive and negative correlation. Linear and non-linear correlation. Simple, multiple, and partial correlation.