Difference Between Correlation and Regression (with Comparison Chart) - Key Differences
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Difference Between Correlation and Regression (with Comparison Chart) - Key Differences
The primary difference between correlation and regression is that Correlation is used to represent linear relationship between two variables. On the contrary, regression is used to fit a best line and estimate one variable on the basis of another variable.
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Before testing relationships, always check data quality. Outliers and missing values can completely distort correlation and regression results. Step 1: Explore → remove/fix extreme values Step 2: Re-run reliability and correlation Clean data = clean results 💯 Stay tuned for SPSS Mistake Sunday – Ep 03 next week. #phdstudent #thesishelp
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