{"id":262710,"date":"2024-04-11T07:05:35","date_gmt":"2024-04-11T07:05:35","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=262710"},"modified":"2024-04-11T07:05:35","modified_gmt":"2024-04-11T07:05:35","slug":"how-to-find-p-value-when-given-r-value","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/how-to-find-p-value-when-given-r-value\/","title":{"rendered":"How to find p-value when given r-value?"},"content":{"rendered":"

The correlation coefficient, also known as “r-value,” measures the strength and direction of a linear relationship between two variables. It ranges from -1 to +1, with values closer to -1 indicating a strong negative relationship, values closer to +1 indicating a strong positive relationship, and values close to zero indicating no significant correlation. To assess the statistical significance of the observed correlation, we can calculate the p-value. The p-value tells us the probability of obtaining a correlation as extreme as the observed value, assuming there is no correlation in the population. Here is how to find the p-value when given the r-value:<\/p>\n

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