Pearson coefficient

Pearson coefficient,

Definition of Pearson coefficient:

  1. To find the Pearson coefficient, also referred to as the Pearson correlation coefficient or the Pearson product-moment correlation coefficient, the two variables are placed on a scatter plot. The variables are denoted as X and Y. There must be some linearity for the coefficient to be calculated; a scatter plot not depicting any resemblance to a linear relationship will be useless. The closer the resemblance to a straight line of the scatter plot, the higher the strength of association. Numerically, the Pearson coefficient is represented the same way as a correlation coefficient that is used in linear regression, ranging from -1 to +1. A value of +1 is the result of a perfect positive relationship between two or more variables. Positive correlations indicate that both variables move in the same direction. Conversely, a value of -1 represents a perfect negative relationship. Negative correlations indicate that as one variable increases, the other decreases; they are inversely related. A zero indicates no correlation.

  2. The Pearson coefficient is a type of correlation coefficient that represents the relationship between two variables that are measured on the same interval or ratio scale. The Pearson coefficient is a measure of the strength of the association between two continuous variables.

  3. A correlation technique using a scatter plot to measure the strength of the association between two quantitative and linear variables. For example, the closer the scatter of points plotting age and blood pressure variables are to a straight line, the stronger the association is between them.

How to use Pearson coefficient in a sentence?

  1. English mathematician and statistician Karl Pearson is credited for developing many statistical techniques, including the Pearson coefficient, the chi-squared test, p-value, and linear regression.
  2. The Pearson coefficient shows correlation, not causation.
  3. Pearson coefficients range from +1 to -1, with +1 representing a positive correlation, -1 representing a negative correlation, and 0 representing no relationship.
  4. The Pearson coefficient is a mathematical correlation coefficient representing the relationship between two variables, denoted as X and Y.

Meaning of Pearson coefficient & Pearson coefficient Definition