CA Foundation QA: Correlation and Regression | Sankat Mochan 4.0 | Anurag Chauhan Sir
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CA Foundation QA: Correlation and Regression | Sankat Mochan 4.0 | Anurag Chauhan Sir
116 562 просмотра · Трансляция закончилась 9 месяцев назад
CA Wallah by PW
673 тыс. подписчиков
116 562 просмотра · Трансляция закончилась 9 месяцев назад
Learn Correlation and Regression for CA Foundation QA with the Sankat Mochan 4.0 series by Anurag Chauhan Sir. This session simplifies key formulas, concepts, and exam-oriented problem-solving methods to help you score high in the Statistics section. Perfect for CA Foundation 2026 aspirants looking for clear explanations, shortcuts, and chapter-wise clarity to strengthen Quantitative Aptitude.
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Time Stamp:
00:00:00 - Intro
00:04:40 - Introduction to Correlation
00:07:10 - Range of Correlation Coefficient (r)
00:15:45 - Causal vs Spurious Correlation
00:22:11 - Scatter Diagram Method
00:33:01 - Karl Pearson’s Correlation (r)
00:35:12 - Properties of Covariance
01:07:40 - Finding Number of Observations (n)
01:19:10 - Spearman’s Rank Correlation
01:32:00 - Coefficient of Determination (r²)
01:54:30 - Introduction to Regression
01:57:12 - Regression Equations (Y on X, X on Y)
02:10:46 - r as Geometric Mean of Regression Coefficients
02:20:00 - Intersection of Regression Lines
02:34:44 - Properties of Regression Coefficients
02:37:35 - Practice: Change of Scale
02:39:10 - Conclusion
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