Statistical Methods-Correlation Coefficient (ISS (Statistical Services) Statistics Paper I (Old Subjective Pattern)): Questions 1 - 7 of 10

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Question number: 1

» Statistical Methods » Correlation Coefficient » Multiple Correlation

Appeared in Year: 2009

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(i) Show that the arithmetic mean of (positive) regression coefficients is greater than the correlation coefficient.

(ii) What is the value of the product of geometric mean of variances and the geometric mean of regression coefficients?

Explanation

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Question number: 2

» Statistical Methods » Correlation Coefficient » Multiple Correlation

Appeared in Year: 2013

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For a trivariate population, it is given that:

σ 1 =3, σ 2 =4, σ 3 =5, r 12 =0.7, r 13 =0.6, r 23 =0.4

Compute all partial and multiple correlation coefficients.

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Question number: 3

» Statistical Methods » Correlation Coefficient » Multiple Correlation

Appeared in Year: 2012

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Define partial correlation coefficient r 12.3 between x 1 and x 2 eliminating from each the effect of x 3. Derive the expression for r 12.3 and comment on its usefulness in multivariate data analysis.

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Question number: 4

» Statistical Methods » Correlation Coefficient » Partial Correlation

Appeared in Year: 2014

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Given the following correlation matrix of order 3 x 3

Calculate (i) r 12.3 (ii) r 1.23

Explanation

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Question number: 5

» Statistical Methods » Correlation Coefficient » Partial Correlation

Appeared in Year: 2009

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The two regression lines between X and Y are 8X - 10Y + 66 = 0, 40X - 18Y = 214. The variance of X is 9. Find X, Y, σ Y and ρ.

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Question number: 6

» Statistical Methods » Correlation Coefficient » Multiple Correlation

Appeared in Year: 2015

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With 3 variables X 1, X 2 and X 3, it is given that r 13 =0.71, R 1.23 =0.78. Find r 12.3.

Explanation

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Question number: 7

» Statistical Methods » Correlation Coefficient » Intraclass Correlation

Appeared in Year: 2012

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For a set of 10 pairs of observations (x i, y j), i = 1 (1) 10, the following calculations are available

Examine at 5 % level of significance if the two variables arc uncorrelated in the population.

Explanation

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