Karl Pearson’s Coefficient of Correlation, Linear Regression Equations

Karl Pearson’s Coefficient of Correlation, Linear Regression Equations (कार्ल पीयरसन का सहसंबंध गुणांक, रैखिक प्रतिगमन समीकरण):-

Karl Pearson’s Coefficient of Correlation (कार्ल पीयरसन का सहसंबंध गुणांक):- Karl Pearson’s Coefficient of Correlation (r) is a measure of the strength and direction of the linear relationship between two variables. It is also known as the Pearson correlation coefficient, and it is one of the most commonly used metrics to evaluate the linear association between two continuous variables.

[कार्ल पीयरसन का सहसंबंध गुणांक (r) दो चर के बीच रैखिक संबंध की ताकत और दिशा को मापने का एक उपाय है। इसे पियरसन सहसंबंध गुणांक भी कहा जाता है, और यह निरंतर चरों के बीच रैखिक संबंध का मूल्यांकन करने के लिए सबसे सामान्य रूप से उपयोग किए जाने वाले मापकों में से एक है।]

Formula (सूत्र):- The formula for Pearson's correlation coefficient is:

(पियरसन के सहसंबंध गुणांक का सूत्र इस प्रकार है:)

Where (जहां):

r is the Pearson correlation coefficient

(r पियरसन सहसंबंध गुणांक है)

n is the number of pairs of scores

(n स्कोरों के युग्मों की संख्या है)

.............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................

.............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................

.............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................

.............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................

.............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................

PURCHASE

(CLICK ON THIS LINK)

https://purchasebscagnotesandpapers.blogspot.com/2024/09/purchase-notes-and-solved-old-papers.html

CONTACT US

AGRICULTURE BOTANY

Whatsapp No. +91 8094920969 (Chat only)