PROC CORR - Part 1 (Pearson & Spearman Correlations)
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📈Pearson and Spearman correlation📈 🟥 PEARSON CORRELATION (r) What it does: Measures how strongly two variables move together in a straight-line (linear) way. Example: If fertilizer increases and plant height also increases in a straight-line pattern → Pearson will give a high positive value. What values mean: 1 → Perfect positive linear relationship 0 → No linear relationship −1 → Perfect negative linear relationship When to use: When your data are continuous (height, weight, yield, etc.) Whe
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