Correlation: Meaning, Types, Examples & Coefficient
Correlation: Meaning, Types, Examples & Coefficient
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Artificial Intelligence Factory on Instagram: "The Pearson correlation coefficient (r) measures how strongly two continuous variables move together in a straight-line relationship. Its value ranges from -1 to 1: 1 means a perfect positive linear relationship, -1 means a perfect negative linear relationship, O means no linear relationship at all. The closer r is to -1 or 1, the stronger the correlation. Positive values mean both variables increase together, while negative values mean one rises as
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AI • Machine Learning • Tech on Instagram: "The Pearson correlation coefficient (r) is a statistical measure that indicates the strength and direction of a linear relationship between two continuous variables. Its values range from -1 to 1, where 1 indicates a perfect positive linear relationship, -1 indicates a perfect negative linear relationship, and 0 indicates no linear correlation. Generally, values closer to -1 or 1 represent strong correlations, while those near 0 suggest weak or no corr
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