{"id":213974,"date":"2023-10-25T19:58:31","date_gmt":"2023-10-25T19:58:31","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/what-happens-when-the-value-of-pearson-r-deviates-from-zero\/"},"modified":"2023-10-25T19:58:31","modified_gmt":"2023-10-25T19:58:31","slug":"what-happens-when-the-value-of-pearson-r-deviates-from-zero","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/what-happens-when-the-value-of-pearson-r-deviates-from-zero\/","title":{"rendered":"What happens when the value of Pearson r deviates from zero?"},"content":{"rendered":"

What happens when the value of Pearson r deviates from zero?<\/p>\n

The Pearson correlation coefficient, denoted as Pearson r, is a measure of the strength and direction of the linear relationship between two variables. Its value ranges from -1 to +1, with zero indicating no linear association between the variables. When the value of Pearson r deviates from zero, it provides valuable insights into the nature and strength of the relationship.<\/p>\n

**When the value of Pearson r deviates from zero, it indicates the presence and strength of a linear relationship between the variables.**<\/p>\n

A positive value of Pearson r (between 0 and +1) suggests a positive linear relationship, meaning that as one variable increases, the other tends to increase as well. The closer the value is to +1, the stronger the positive relationship is.<\/p>\n

Conversely, a negative value of Pearson r (between -1 and 0) indicates a negative linear relationship. Here, as one variable increases, the other tends to decrease. The closer the value is to -1, the stronger the negative relationship is.<\/p>\n

Now, let’s address some frequently asked questions related to Pearson r:<\/p>\n

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