McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Master of Commerce (M.com) , Bachelor of Commerce (B Com) .
| 1. |
The techniques which provide the decision maker a systematic and powerful means of analysis to explore policies for achieving predetermined goals are called.......................... |
| A. | Correlation techniques |
| B. | Mathematical techniques |
| C. | Quantitative techniques |
| D. | None of the above |
| Answer» C. Quantitative techniques | |
| 2. |
Correlation analysis is a .............................. |
| A. | Univariate analysis |
| B. | Bivariate analysis |
| C. | Multivariate analysis |
| D. | Both b and c |
| Answer» D. Both b and c | |
| 3. |
If change in one variable results a corresponding change in the other variable, then the variables are......................... |
| A. | Correlated |
| B. | Not correlated |
| C. | Any of the above |
| D. | None of the above |
| Answer» A. Correlated | |
| 4. |
When the values of two variables move in the same direction, correlation is said to be ............................ |
| A. | Linear |
| B. | Non-linear |
| C. | Positive |
| D. | Negative |
| Answer» C. Positive | |
| 5. |
When the values of two variables move in the opposite directions, correlation is said to be ............................ |
| A. | Linear |
| B. | Non-linear |
| C. | Positive |
| D. | Negative |
| Answer» D. Negative | |
| 6. |
When the amount of change in one variable leads to a constant ratio of change in the other variable, then correlation is said to be ......................... |
| A. | Linear |
| B. | Non-linear |
| C. | Positive |
| D. | Negative |
| Answer» A. Linear | |
| 7. |
...........................attempts to determine the degree of relationship between variables. |
| A. | Regression analysis |
| B. | Correlation analysis |
| C. | Inferential analysis |
| D. | None of these |
| Answer» B. Correlation analysis | |
| 8. |
Non-linear correlation is also called..................................... |
| A. | Non-curvy linear correlation |
| B. | Curvy linear correlation |
| C. | Zero correlation |
| D. | None of these |
| Answer» B. Curvy linear correlation | |
| 9. |
Scatter diagram is also called ...................... |
| A. | Dot chart |
| B. | Correlation graph |
| C. | Both a and b |
| D. | None of these |
| Answer» A. Dot chart | |
| 10. |
If all the points of a scatter diagram lie on a straight line falling from left upper corner to the right bottom corner, the correlation is called................... |
| A. | Zero correlation |
| B. | High degree of positive correlation |
| C. | Perfect negative correlation |
| D. | Perfect positive correlation |
| Answer» C. Perfect negative correlation | |
| 11. |
If all the dots of a scatter diagram lie on a straight line falling from left bottom corner to the right upper corner, the correlation is called.................. |
| A. | Zero correlation |
| B. | High degree of positive correlation |
| C. | Perfect negative correlation |
| D. | Perfect positive correlation |
| Answer» D. Perfect positive correlation | |
| 12. |
Numerical measure of correlation is called ..................... |
| A. | Coefficient of correlation |
| B. | Coefficient of determination |
| C. | Coefficient of non-determination |
| D. | Coefficient of regression |
| Answer» A. Coefficient of correlation | |
| 13. |
Coefficient of correlation explains: |
| A. | Concentration |
| B. | Relation |
| C. | Dispersion |
| D. | Asymmetry |
| Answer» B. Relation | |
| 14. |
Coefficient of correlation lies between: |
| A. | 0 and +1 |
| B. | 0 and –1 |
| C. | –1 and +1 |
| D. | – 3 and +3 |
| Answer» C. –1 and +1 | |
| 15. |
A high degree of +ve correlation between availability of rainfall and weight of weight of people is: |
| A. | A meaningless correlation |
| B. | A spurious correlation |
| C. | A nonsense correlation |
| D. | All of the above |
| Answer» D. All of the above | |
| 16. |
If the ratio of change in one variable is equal to the ratio of change in the other variable, then the correlation is said to be ..................... |
| A. | Linear |
| B. | Non-linear |
| C. | Curvilinear |
| D. | None of these |
| Answer» A. Linear | |
| 17. |
Pearsonian correlation coefficient if denoted by the symbol ............... |
| A. | K |
| B. | r |
| C. | R |
| D. | None of these |
| Answer» C. R | |
| 18. |
If r= +1, the correlation is said to be ................... |
| A. | High degree of +ve correlation |
| B. | High degree of –ve correlation |
| C. | Perfect +ve correlation |
| D. | Perfect –ve correlation |
| Answer» C. Perfect +ve correlation | |
| 19. |
If the dots in a scatter diagram fall on a narrow band, it indicates a ....................... degree of correlation. |
| A. | Zero |
| B. | High |
| C. | Low |
| D. | None of these |
| Answer» B. High | |
| 20. |
If all the points of a dot chart lie on a straight line vertical to the X-axis, then coefficient of correlation is ................... |
| A. | 0 |
| B. | +1 |
| C. | –1 |
| D. | None of these |
| Answer» A. 0 | |
| 21. |
If all the points of a dot chart lie on a straight line parallel to the X-axis, it denotes .................................of correlation. |
| A. | High degree |
| B. | Low degree |
| C. | Moderate degree |
| D. | Absence |
| Answer» D. Absence | |
| 22. |
If dots are lying on a scatter diagram in a haphazard manner, then r = ...................... |
| A. | 0 |
| B. | +1 |
| C. | –1 |
| D. | None of these |
| Answer» A. 0 | |
| 23. |
The unit of Coefficient of correlation is ........................ |
| A. | Percentage |
| B. | Ratio |
| C. | Same unit of the data |
| D. | No unit |
| Answer» D. No unit | |
| 24. |
Product moment correlation method is also called ........................ |
| A. | Rank correlation |
| B. | Pearsonian correlation |
| C. | Concurrent deviation |
| D. | None of these |
| Answer» B. Pearsonian correlation | |
| 25. |
The –ve sign of correlation coefficient between X and Y indicates............................. |
| A. | X decreasing, Y increasing |
| B. | X increasing, Y decreasing |
| C. | Any of the above |
| D. | There is no change in X and Y |
| Answer» C. Any of the above | |
| 26. |
Coefficient of correlation explains .................... of the relationship between two variables. |
| A. | Degree |
| B. | Direction |
| C. | Both of the above |
| D. | None of the above |
| Answer» C. Both of the above | |
| 27. |
For perfect correlation, the coefficient of correlation should be .......................... |
| A. | ± 1 |
| B. | + 1 |
| C. | – 1 |
| D. | 0 |
| Answer» A. ± 1 | |
| 28. |
Rank correlation coefficient was discovered by.................................... |
| A. | Fisher |
| B. | Spearman |
| C. | Karl Pearson |
| D. | Bowley |
| Answer» B. Spearman | |
| 29. |
The rank correlation coefficient is always............................ |
| A. | + 1 |
| B. | – 1 |
| C. | 0 |
| D. | Between + 1 and – 1 |
| Answer» D. Between + 1 and – 1 | |
| 30. |
Spearman’s Rank Correlation Coefficient is usually denoted by.................... |
| A. | K |
| B. | r |
| C. | S |
| D. | R |
| Answer» D. R | |
| 31. |
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 |
| Answer» A. Test the reliability of correlation coefficient | |
| 32. |
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 |
| Answer» C. 6 times | |
| 33. |
In correlation analysis, Probable Error = ........................ x 0.6745 |
| A. | Standard deviation |
| B. | Standard error |
| C. | Coefficient of correlation |
| D. | None of these |
| Answer» B. Standard error | |
| 34. |
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 |
| Answer» A. The signs of the deviations | |
| 35. |
Correlation analysis between two sets of data only is called.................... |
| A. | Partial correlation |
| B. | Multiple correlation |
| C. | Nonsense correlation |
| D. | Simple correlation |
| Answer» D. Simple correlation | |
| 36. |
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 |
| Answer» A. Partial correlation | |
| 37. |
Study of correlation among three or more variables simultaneously is called............. |
| A. | Partial correlation |
| B. | Multiple correlation |
| C. | Nonsense correlation |
| D. | Simple correlation |
| Answer» B. Multiple correlation | |
| 38. |
If r = 0.8, coefficient of determination is..................................... |
| A. | 80% |
| B. | 8% |
| C. | 64% |
| D. | 0.8% |
| Answer» C. 64% | |
| 39. |
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 |
| Answer» A. Coefficient of determination | |
| 40. |
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 |
| Answer» B. Coefficient of non-determination | |
| 41. |
The term regression was first used by.......................... |
| A. | Karl Pearson |
| B. | Spearman |
| C. | R A Fisher |
| D. | Francis Galton |
| Answer» D. Francis Galton | |
| 42. |
....................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 |
| Answer» B. Regression | |
| 43. |
If there are two variables, there can be at most ........................ number of regression lines. |
| A. | One |
| B. | Two |
| C. | Three |
| D. | Infinite |
| Answer» B. Two | |
| 44. |
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 |
| Answer» D. All the above | |
| 45. |
Regression line is also called................................. |
| A. | Estimating equation |
| B. | Prediction equation |
| C. | Line of average relationship |
| D. | All the above |
| Answer» D. All the above | |
| 46. |
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 |
| Answer» C. Both a and b | |
| 47. |
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 |
| Answer» A. Dependent variable | |
| 48. |
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 |
| Answer» B. Independent variable | |
| 49. |
The point of intersection of two regression lines is.......................... |
| A. | (0,0) |
| B. | (1,1) |
| C. | (x,y) |
| D. | (x̄ , ӯ) |
| Answer» D. (x̄ , ӯ) | |
| 50. |
If r = ± 1, the two regression lines are............................... |
| A. | Coincident |
| B. | Parallel |
| C. | Perpendicular to each other |
| D. | None of these |
| Answer» A. Coincident | |
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