Statistical Methods-Correlation Coefficient (ISS (Statistical Services) Statistics Paper I (Old Subjective Pattern)): Questions 1 - 6 of 10

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Question number: 1

» Statistical Methods » Correlation Coefficient » Multiple Correlation

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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

(i) The arithmetic mean of regression coefficients is and the correlation coefficient is r.

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Question number: 2

» Statistical Methods » Correlation Coefficient » Multiple Correlation

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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.

Explanation

Given that there are three variable X 1, X 2, X 3 for a trivariate population. The partial correlation coefficient is between any two variable eliminating the third variable. So, the parital correlation between X 1 and X 2 is

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Question number: 3

» Statistical Methods » Correlation Coefficient » Multiple Correlation

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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.

Explanation

Partial correlation coefficient defined as a association between any two variables out of a set of eliminating the other variable. Consider three variables X 1, X 2 and X 3. Now we want to find out the partial correlation coefficient r 12.3 between X 1 and X 2 eliminating the linear effect of X 3 on X 1 and X 2. In this situation, define two res

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Question number: 4

» Statistical Methods » Correlation Coefficient » Partial Correlation

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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

In general, the correlation matrix is in these notations

(i)

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Question number: 5

» Statistical Methods » Correlation Coefficient » Partial Correlation

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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.

Explanation

Given that

We know that the mean value of the given series satisfies the regression line that is

The means of X and Y is calcula

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Question number: 6

» Statistical Methods » Correlation Coefficient » Multiple Correlation

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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

We know that

The relationship between the partial and multiple correlations is

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