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YOUTUBE CHANNEL: MUMBAI UNIVERSITY IDOL Mathematical and Statistical Techniques F.Y.B.COM IMPOERANCE MCQ QUESTION BANK 1. Coefficient of correlation explains …………………….of the relationship between two variables. a. Degree b. Direction c. Both of the above d. None of the above ANSWERS: C 2. For perfect correlation, the coefficient of correlation should be …………………….. a. ± 1 b. + 1 c. – 1 d. 0 ANSWERS: A 3. Rank correlation coefficient was discovered by……………………………… a. Fisher b. Spearman c. Karl Pearson d. Bowley ANSWERS: B 4. The rank correlation coefficient is always………………………. a. + 1 b. – 1 c. 0 d. Between + 1 and – 1 ANSWERS: D 5. Spearman’s Rank Correlation Coefficient is usually denoted by……………….. a. k b. r c. S d. R ANSWERS: D 6. Probable error is used to: a. Test the reliability of correlation coefficient b. Measure the error in correlation coefficient c. Both a an b d. None of these ANSWERS: A 7. If coefficient of correlation is more than …………….of its P E, correlation is significant. a. 2 times b. 5 times c. 6 times d. 10 times ANSWERS: C 8. In correlation analysis, Probable Error = …………………… x 0.6745 a. Standard deviation b. Standard error c. Coefficient of correlation d. None of these ANSWERS: B 9. Coefficient of concurrent deviation depends on ………………….. a. The signs of the deviations b. The magnitude of the deviations c. Bothe a and b d. None of these ANSWERS: A 10. Correlation analysis between two sets of data only is called……………….. a. Partial correlation b. Multiple correlation c. Nonsense correlation d. Simple correlation ANSWERS: D 11. Correlation analysis between one dependent variable with one independent variable by keeping the other independent variables as constant is called…………………. a. Partial correlation b. Multiple correlation c. Nonsense correlation d. Simple correlation ANSWERS: A 12. Study of correlation among three or more variables simultaneously is called…………. a. Partial correlation b. Multiple correlation c. Nonsense correlation d. Simple correlation ANSWERS: B 13. If r = 0.8, coefficient of determination is………………………………. a. 80% b. 8% c. 64% d. 0.8% ANSWERS: C 14. If r is the simple correlation coefficient, the quantity r2 is known as ………………. a. Coefficient of determination b. Coefficient of non-determination c. Coefficient of alienation d. None of these ANSWERS: A 15. If r is the simple correlation coefficient, the quantity 1 — r2 is known as ………………. a. Coefficient of determination b. Coefficient of non-determination c. Coefficient of alienation d. None of these ANSWERS: B 16. The term regression was first used by…………………….. a. Karl Pearson b. Spearman c. R A Fisher d. Francis Galton ANSWERS:D 17. ………………..refers to analysis of average relationship between two variables to provide mechanism for prediction. a. Correlation b. Regression c. Standard error d. None of these ANSWERS:B 18. If there are two variables, there can be at most…………………………. number of regression lines. a. One b. Two c. Three d. Infinite ANSWERS: B 19. If the regression line is Y on X, then the variable X is known as…………………….. a. Independent variable b. Explanatory variable c. Regressor d. All the above ANSWERS: D 20. Regression line is also called…………………………… a. Estimating equation b. Prediction equation c. Line of average relationship d. All the above ANSWERS: D 21. If the regression line is X on Y, then the variable X is known as…………………….. a. Dependent variable b. Explained variable c. Both a and b d. Regressor ANSWERS: C 22. If the regression line is X on Y, then the variable X is known as…………………….. a. Dependent variable b. Independent variable c. Bothe a and b d. None of the above ANSWERS: A 23. If the regression line is Y on X, then the variable X is known as…………………….. a. Dependent variable b. Independent variable c. Both a and b d. None of the above ANSWERS: D 24. The point of intersection of two regression lines is…………………….. a. (0,0) b. (1,1) c. (x,y) d. (x̄, ӯ) ANSWERS: D 25. If r = ± 1, the two regression lines are…………………………. a. Coincident b. Parallel c. Perpendicular to each other d. 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