Correlation and RegressionMCQPYQ June 19Question 3702 of 188
All Questions

A.M. of regression coefficient is

Options

AEqual to r\displaystyle r
BGreater than or equal to r\displaystyle r
CHalf of r\displaystyle r
DNone of these
For any discrepancies in this question, email contact@cadada.in

Correct Answer

Option bGreater than or equal to r\displaystyle r

All Options:

  • AEqual to r\displaystyle r
  • BGreater than or equal to r\displaystyle r
  • CHalf of r\displaystyle r
  • DNone of these

Ad

Detailed Solution & Explanation

Let the two regression coefficients be byx\displaystyle b_{yx} and bxy\displaystyle b_{xy}. Their Arithmetic Mean (AM) is: AM=byx+bxy2\text{AM} = \frac{b_{yx} + b_{xy}}{2} Their Geometric Mean (GM) is related to the correlation coefficient r\displaystyle r by: GM=byx×bxy=r\text{GM} = \sqrt{b_{yx} \times b_{xy}} = |r| By the mathematical inequality of AM and GM (which states that AMGM\displaystyle \text{AM} \ge \text{GM} for any non-negative numbers): byx+bxy2byx×bxy\frac{|b_{yx}| + |b_{xy}|}{2} \ge \sqrt{|b_{yx}| \times |b_{xy}|} byx+bxy2r\frac{|b_{yx}| + |b_{xy}|}{2} \ge |r| Since regression coefficients byx\displaystyle b_{yx}, bxy\displaystyle b_{xy}, and r\displaystyle r must all share the same sign, we can generalize this to: byx+bxy2r(for r>0)\frac{b_{yx} + b_{xy}}{2} \ge r \quad (\text{for } r > 0) In all valid scenarios, the arithmetic mean of the two regression coefficients is always greater than or equal to the correlation coefficient (r\displaystyle r). *Note: The textbook/source file incorrectly lists Option A (Equal to r\displaystyle r) as the correct answer. By standard mathematical principles, the AM is greater than or equal to the GM, which means AMr\displaystyle \text{AM} \ge r (Option B).* Hence, **Option B** is the correct answer.

About This Chapter: Correlation and Regression

Paper

Paper 3: Quantitative Aptitude

Weightage

4-6 Marks

Key Topics

Correlation Coefficient, Regression Equations

This chapter covers Correlation Coefficient, Regression Equations and is part of Paper 3: Quantitative Aptitude in the CA Foundation exam.

View Official ICAI Syllabus

Exam Strategy Tip

This topic carries 4-6 Marks weightage. Focus on understanding core concepts rather than memorizing.

Key Concepts to Understand

Related Comparison Tables

More Questions from Correlation and Regression

Ready to Master Correlation and Regression?

Practice all 188 questions with instant feedback, earn XP, track your streaks, and ace your CA Foundation exam.

Start Practicing — It's Free