Correlation and RegressionMCQPYQ Jun 23Question 3767 of 188
All Questions

Given that r=0.4\displaystyle r = 0.4 and n=81\displaystyle n = 81, determine the limits for the population correlation coefficient.

Options

A(0.333,0.466)\displaystyle (0.333, 0.466)
B(0.367,0.433)\displaystyle (0.367, 0.433)
C(0.337,0.463)\displaystyle (0.337, 0.463)
D(0.373,0.427)\displaystyle (0.373, 0.427)
For any discrepancies in this question, email contact@cadada.in

Correct Answer

Option c(0.337,0.463)\displaystyle (0.337, 0.463)

All Options:

  • A(0.333,0.466)\displaystyle (0.333, 0.466)
  • B(0.367,0.433)\displaystyle (0.367, 0.433)
  • C(0.337,0.463)\displaystyle (0.337, 0.463)
  • D(0.373,0.427)\displaystyle (0.373, 0.427)

Ad

Detailed Solution & Explanation

We are given: - Sample correlation coefficient, r=0.4\displaystyle r = 0.4 - Number of observations, n=81\displaystyle n = 81 The Probable Error (P.E.\displaystyle P.E.) of the correlation coefficient is calculated using the formula: P.E.=0.6745timesfrac1r2sqrtnP.E. = 0.6745 \\times \\frac{1 - r^2}{\\sqrt{n}} Substitute the given values into the formula: P.E.=0.6745timesfrac1(0.4)2sqrt81P.E. = 0.6745 \\times \\frac{1 - (0.4)^2}{\\sqrt{81}} P.E.=0.6745timesfrac10.169P.E. = 0.6745 \\times \\frac{1 - 0.16}{9} P.E.=0.6745timesfrac0.849P.E. = 0.6745 \\times \\frac{0.84}{9} P.E.=0.6745times0.09333approx0.06295P.E. = 0.6745 \\times 0.09333 \\approx 0.06295 Rounding to three decimal places, we get: P.E.approx0.063P.E. \\approx 0.063 The limits for the population correlation coefficient are given by: textLimits=rpmP.E.\\text{Limits} = r \\pm P.E. textLowerLimit=0.40.063=0.337\\text{Lower Limit} = 0.4 - 0.063 = 0.337 textUpperLimit=0.4+0.063=0.463\\text{Upper Limit} = 0.4 + 0.063 = 0.463 Thus, the limits for the population correlation coefficient are (0.337,0.463)\displaystyle (0.337, 0.463). Hence, **Option C** 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