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Types of Correlation in Biostatistics 📊 | Positive, Negative & Zero Correlation
📚 Learn the 3 main types of correlation in Biostatistics – Positive, Negative, and Zero correlation – explained in a simple and visual way with real-life examples! This video is ideal for: ️ Nursing students ️ NEET, Pharma & Paramedical exams ️ Biostatistics & Research Methodology learners 📈 Correlation helps understand the ...
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Neural AI on Instagram: "The Pearson correlation coefficient (r) measures how strong and in what direction two continuous variables are related in a linear way. 🔹 Its value ranges from -1 to 1: • +1 = perfect positive correlation • -1 = perfect negative correlation • 0 = no linear correlation 📈 Values closer to -1 or 1 mean a strong relationship; values near 0 indicate weak or no correlation. • Positive r: as one variable increases, the other also increases. • Negative r: as one variable incre
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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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Artificial Intelligence | AI 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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