Correlation and Regression MCQs

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Topic Notes: Correlation and Regression

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121

How does the angle or distance between the two regression lines relate to the degree of correlation between variables?

122

An inverse relationship between two variables implies a negative correlation coefficient. Which value represents a strong inverse correlation between 'overweight' and 'life expectancy'?

123

What value of the correlation coefficient indicates a perfect linear relationship between two variables?

124

Which of the following statements regarding correlation and regression analysis is false?

A The regression coefficients are independent of the change of origin and of scale B When value of correlation coefficient is one, the two regression lines coincide C The square of the coefficient of correlation is called coefficient of determination D The sign of the regression coefficients are always the same

125

If there is a strong inverse relationship between 'Overweight' and 'life expectancy', which correlation coefficient value best represents this?

126

Regarding the correlation coefficient, which of the following statements is correct?

127

Evaluate the following assertion and reason regarding regression analysis: Assertion (A): In regression analysis, the dependent variable is random, while the independent variable is fixed. Reason (R): Regression analysis estimates dependent variables based on independent regressor variables.

A Both (A) and (R) are false B Both (A) and (R) are true, but (R) is not the correct explanation of (A) C Both (A) and (R) are true and (R) is the correct explanation of (A) D (A) is false, but (R) is true

128

What is the term for a relationship where data points are best represented by a curve rather than a straight line?

129

If the sum of the product of deviations of two series from their respective means (Σxy) is zero, what is the value of the correlation coefficient?

130

What is the term used to describe the tendency of two variables to move in relation to one another?

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Topic Notes: Correlation and Regression

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