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Question

The multiple correlation ranges between :

The correct answer is
Zero to $1.00$

The question asks about the range of multiple correlation. Let's first understand what multiple correlation is.

Definition: Multiple correlation is a statistic that measures the strength and direction of a linear relationship between one dependent variable and two or more independent variables simultaneously.

Range of Multiple Correlation (R): The multiple correlation coefficient (\( R \)) is a square root of the coefficient of determination and ranges from \(0\) to \(1.0\). This means:

  • A value of \(0\) indicates no linear relationship between the dependent and independent variables.
  • A value closer to \(1.0\) indicates a stronger linear relationship.

Explanation of Options:

  1. Option 1: $-0.50$ to $+0.50$ - This range is incorrect as it does not correspond to any usual statistical range for correlation coefficients.
  2. Option 2: $-1.00$ to $+1.00$ - This range corresponds to simple (bivariate) correlation coefficients, not multiple correlation.
  3. Option 3: Zero to $1.00$ - This is the correct range for the multiple correlation coefficient as explained above.
  4. Option 4: There is a fixed range for bivariate correlation, but not for multiple correlation - This statement is incorrect. Multiple correlation also has a fixed range from zero to one.

Conclusion: Based on the above explanation, the correct answer is Zero to $1.00$, indicating that the multiple correlation coefficient ranges from 0 to 1.

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Important Questions from Correlation Analysis

  1. The value of simple correlation coefficient lies in the interval:

  2. Which option is correct for the correlation ratio E 2?

  3. Let θ be the angle made by the line of regression of Y on X. If σ Y= 2σ X and the correlation coefficient between X and Y is 0.3, the value θ equals

  4. The multiple correlation coefficient R 1,23 as compared to any simple correlation coefficients between the distinct variable X 1 ,X 2, and X 3is

  5. The coefficients of the regression β X|y and β Y|x , are known, The coefficient of correlation equals: 

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