Definition of Correlation, Scatter Diagram

Definition of Correlation, Scatter Diagram (सहसंबंध की परिभाषा, स्कैटर आरेख):-

Definition of Correlation (सहसंबंध की परिभाषा):- Correlation is a statistical measure that describes the extent to which two variables change together. If two variables tend to increase or decrease together, they are said to have a positive correlation. Conversely, if one variable tends to increase when the other decreases, they have a negative correlation. If the change in one variable doesn't result in any predictable change in the other, the variables are said to have no correlation.

(सहसंबंध एक सांख्यिकीय माप है जो यह बताता है कि दो चर किस हद तक एक साथ बदलते हैं। अगर दो चर एक साथ बढ़ते या घटते हैं, तो उन्हें धनात्मक सहसंबंध कहा जाता है। इसके विपरीत, यदि एक चर बढ़ता है जबकि दूसरा घटता है, तो उन्हें ऋणात्मक सहसंबंध कहा जाता है। अगर एक चर में बदलाव से दूसरे चर में कोई अनुमानित बदलाव नहीं होता है, तो इन चर को कोई सहसंबंध नहीं कहा जाता है।)

Positive Correlation (धनात्मक सहसंबंध):- As one variable increases, the other also increases. For example, the relationship between height and weight in humans—generally, taller people tend to weigh more.

(जैसे-जैसे एक चर बढ़ता है, दूसरा भी बढ़ता है। उदाहरण के लिए, मनुष्यों में ऊंचाई और वजन के बीच संबंध—आमतौर पर, लंबे लोग अधिक वजन वाले होते हैं।)

Negative Correlation (ऋणात्मक सहसंबंध):- As one variable increases, the other decreases. For example, the relationship between the number of hours spent watching TV and academic performance—more hours might lead to lower grades.

(जैसे-जैसे एक चर बढ़ता है, दूसरा घटता है। उदाहरण के लिए, टीवी देखने में बिताए गए घंटों और शैक्षणिक प्रदर्शन के बीच संबंध—अधिक घंटे देखने से कम अंक मिल सकते हैं।)

No Correlation (कोई सहसंबंध नहीं):-

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