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This set of Quantitative Techniques Multiple Choice Questions & Answers (MCQs) focuses on Quantitative Techniques Set 2
Q1 | Coefficient of correlation explains .................... of the relationship between two variables.
- Degree
- Direction
- Both of the above
- None of the above
Q2 | For perfect correlation, the coefficient of correlation should be ..........................
- ± 1
- + 1
- – 1
Q3 | Rank correlation coefficient was discovered by....................................
- Fisher
- Spearman
- Karl Pearson
- Bowley
Q4 | The rank correlation coefficient is always............................
- + 1
- – 1
- Between + 1 and – 1
Q5 | Spearman’s Rank Correlation Coefficient is usually denoted by....................
- K
- r
- S
- R
Q6 | Probable error is used to:
- Test the reliability of correlation coefficient
- Measure the error in correlation coefficient
- Both a an b
- None of these
Q7 | If coefficient of correlation is more than ................of its P E, correlation is significant.
- 2 times
- 5 times
- 6 times
- 10 times
Q8 | In correlation analysis, Probable Error = ........................ x 0.6745
- Standard deviation
- Standard error
- Coefficient of correlation
- None of these
Q9 | Coefficient of concurrent deviation depends on .......................
- The signs of the deviations
- The magnitude of the deviations
- Bothe a and b
- None of these
Q10 | Correlation analysis between two sets of data only is called....................
- Partial correlation
- Multiple correlation
- Nonsense correlation
- Simple correlation
Q11 | Correlation analysis between one dependent variable with one independent variable bykeeping the other independent variables as constant is called......................
- Partial correlation
- Multiple correlation
- Nonsense correlation
- Simple correlation
Q12 | Study of correlation among three or more variables simultaneously is called.............
- Partial correlation
- Multiple correlation
- Nonsense correlation
- Simple correlation
Q13 | If r = 0.8, coefficient of determination is.....................................
- 80%
- 8%
- 64%
- 0.8%
Q14 | If r is the simple correlation coefficient, the quantity r2is known as ...................
- Coefficient of determination
- Coefficient of non-determination
- Coefficient of alienation
- None of these
Q15 | If r is the simple correlation coefficient, the quantity 1 -- r2is known as ...................
- Coefficient of determination
- Coefficient of non-determination
- Coefficient of alienation
- None of these
Q16 | The term regression was first used by..........................
- Karl Pearson
- Spearman
- R A Fisher
- Francis Galton
Q17 | ....................refers to analysis of average relationship between two variables to providemechanism for prediction.
- Correlation
- Regression
- Standard error
- None of these
Q18 | If there are two variables, there can be at most ........................ number of regression lines.
- One
- Two
- Three
- Infinite
Q19 | If the regression line is Y on X, then the variable X is known as..........................
- Independent variable
- Explanatory variable
- Regressor
- All the above
Q20 | Regression line is also called.................................
- Estimating equation
- Prediction equation
- Line of average relationship
- All the above
Q21 | If the regression line is X on Y, then the variable X is known as..........................
- Dependent variable
- Explained variable
- Both a and b
- Regressor
Q22 | If the regression line is X on Y, then the variable X is known as..........................
- Dependent variable
- Independent variable
- Bothe a and b
- None of the above
Q23 | If the regression line is Y on X, then the variable X is known as..........................
- Dependent variable
- Independent variable
- Both a and b
- None of the above
Q24 | The point of intersection of two regression lines is..........................
- (0,0)
- (1,1)
- (x,y)
- (x̄ , ӯ)
Q25 | If r = ± 1, the two regression lines are...............................
- Coincident
- Parallel
- Perpendicular to each other
- None of these