McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Bachelor of Business Administration (BBA) , 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. | mathematical techniques |
| B. | correlation technique |
| C. | quantitative techniques |
| D. | none of the above |
| Answer» C. quantitative techniques | |
| 2. |
Programming techniques are generally known as ................................... |
| A. | statistical techniques |
| B. | mathematical techniques |
| C. | operation research techniques |
| D. | none of these |
| Answer» B. mathematical techniques | |
| 3. |
.................................is the reverse process of differentiation |
| A. | differential equation |
| B. | integration |
| C. | determinant |
| D. | none of these |
| Answer» B. integration | |
| 4. |
.............................. is a powerful device developed over the matrix algebra. |
| A. | integration |
| B. | differentiation |
| C. | determinants |
| D. | none of these |
| Answer» C. determinants | |
| 5. |
Correlation analysis is a........................... analysis. |
| A. | univariate analysis |
| B. | bivariate analysis |
| C. | game theory |
| D. | queuing theory |
| Answer» D. queuing theory | |
| 6. |
When the values of two variables move in the same direction, correlation is said to be .......... |
| A. | positive |
| B. | negative |
| C. | linear |
| D. | non-linear |
| Answer» A. positive | |
| 7. |
When the values of two variables move in the opposite direction, correlation is said to be…… |
| A. | positive |
| B. | negative |
| C. | linear |
| D. | non-linear |
| Answer» B. negative | |
| 8. |
When the amount of change in one variable leads to a constant ratio of change in the other variable, correlation is said to be ............................ |
| A. | positive |
| B. | negative |
| C. | linear |
| D. | non-linear |
| Answer» C. linear | |
| 9. |
Scatter diagram is also called ................................... |
| A. | correlation graph |
| B. | zero correlation |
| C. | probability |
| D. | none of the above |
| Answer» B. zero correlation | |
| 10. |
If all the points of a scatter diagram lie on a straight line falling from the lower left-hand corner to the upper right-hand corner, the correlation is said to be .......................... |
| A. | zero correlation |
| B. | perfect positive correlation |
| C. | perfect negative correlation |
| D. | high degree of positive correlation |
| Answer» B. perfect positive correlation | |
| 11. |
If all the dots of a scatter diagram lie on a straight line falling from the upper left-hand corner to the lower right hand corner, the correlation is said to be .......................... |
| A. | zero correlation |
| B. | perfect positive correlation |
| C. | perfect negative correlation |
| D. | high degree of negative correlation |
| Answer» C. perfect negative correlation | |
| 12. |
The quantitative measure of correlation between two variables is known as..................... |
| A. | coefficient of correlation |
| B. | coefficient of regression |
| C. | coefficient of determination |
| D. | none of the above |
| Answer» A. coefficient of correlation | |
| 13. |
Coefficient of correlation measures ........................................... |
| A. | location |
| B. | variability |
| C. | concentration |
| D. | relation |
| Answer» D. relation | |
| 14. |
Coefficient of correlation lies between ..................................... |
| A. | 0 and 1 |
| B. | 0 and -1 |
| C. | +1 and -1 |
| D. | none of these |
| Answer» C. +1 and -1 | |
| 15. |
Karl Pearson’s coefficient of correlation is denoted by the symbol .................. |
| A. | r |
| B. | r |
| C. | k |
| D. | none of the above |
| Answer» B. r | |
| 16. |
Correlation can be ............................................ |
| A. | positive only |
| B. | negative only |
| C. | between +1 and -1 |
| D. | positive |
| Answer» C. between +1 and -1 | |
| 17. |
If r= +1, the correlation is said to be ....................... |
| A. | perfectly positive correlation |
| B. | high degree of correlation |
| C. | direction and degree |
| D. | none of the above |
| Answer» A. perfectly positive correlation | |
| 18. |
An analysis of the covariance between two or more variables is called .............................. |
| A. | regression analysis |
| B. | correlation analysis |
| C. | testing of hypothesis |
| D. | none of these |
| Answer» B. correlation analysis | |
| 19. |
In correlation analysis, P.E. = ....................0.6745 |
| A. | standard error |
| B. | probable error |
| C. | coefficient of non-determination |
| D. | coefficient of alienation |
| Answer» A. standard error | |
| 20. |
If correlation between the two variables is unity , there exists ........................................ |
| A. | perfect +ve correlation |
| B. | perfect -ve correlation |
| C. | zero correlation |
| D. | perfect correlation |
| Answer» D. perfect correlation | |
| 21. |
In correlation analysis, the formulae 1-r2 is used to compute the value of ....................... |
| A. | coefficient of determination |
| B. | coefficient of non-determination |
| C. | coefficient of correlation |
| D. | coefficient of alienation |
| Answer» B. coefficient of non-determination | |
| 22. |
Study of correlation between two sets of data only is called .............................. |
| A. | partial correlation |
| B. | simple correlation |
| C. | multiple correlation |
| D. | none of the above |
| Answer» B. simple correlation | |
| 23. |
………..is the study of correlation between one dependent variable with one independent variable by keeping the other independent variables as constant. |
| A. | multiple correlation |
| B. | simple correlation |
| C. | partial correlation |
| D. | none of the above |
| Answer» C. partial correlation | |
| 24. |
……….is the study of correlation among three or more variable simultaneously. |
| A. | multiple correlation |
| B. | partial correlation |
| C. | simple correlation |
| D. | none of the above |
| Answer» A. multiple correlation | |
| 25. |
In a correlation analysis, if r=0, then we may say that, there is ..................... between variables. |
| A. | no correlation |
| B. | perfect correlation |
| C. | linear correlation |
| D. | none of the above |
| Answer» A. no correlation | |
| 26. |
Coefficient of correlation is independent of ........................................ |
| A. | origin |
| B. | scale |
| C. | both |
| D. | none |
| Answer» C. both | |
| 27. |
When r = -1, we may say that, there is .......................... |
| A. | perfect negative correlation |
| B. | high degree of negative correlation |
| C. | 0.1 |
| D. | 2 |
| Answer» A. perfect negative correlation | |
| 28. |
If the ratio of change in one variable is equal to the ratio of change in the other variable, the correlation is said to be .................................. |
| A. | linear |
| B. | curvi-linear |
| C. | non-linear |
| D. | none of these |
| Answer» A. linear | |
| 29. |
If the plotted points of a scatter diagram fall on a narrow band, it indicates a. ............degree of correlation. |
| A. | zero |
| B. | low |
| C. | high |
| D. | none of these |
| Answer» C. high | |
| 30. |
If r =0.9, coefficient of determination is ......................... |
| A. | 9% |
| B. | 90% |
| C. | absence |
| D. | none of these |
| Answer» C. absence | |
| 31. |
If plotted points in a scatter diagram lie on a straight line vertical to the Y-axis, then r=......... |
| A. | +1 |
| B. | 0 |
| C. | -1 |
| D. | none of these |
| Answer» B. 0 | |
| 32. |
................................is the geometric mean of two regression coefficients. |
| A. | coefficient of correlation |
| B. | coefficient of standered deviation |
| C. | arithmetic mean |
| D. | coefficient of variation |
| Answer» A. coefficient of correlation | |
| 33. |
If dots in a scatter diagram are lie in a haphazard manner, then r= ....................... |
| A. | 0 |
| B. | +1 |
| C. | -1 |
| D. | none of these |
| Answer» A. 0 | |
| 34. |
Product moment correlation was developed by ....................... |
| A. | karl pearson |
| B. | charles edward spearman |
| C. | kelly |
| D. | none of these |
| Answer» A. karl pearson | |
| 35. |
Spearman’s coefficient of correlation is usually denoted by ................. |
| A. | r |
| B. | k |
| C. | r |
| D. | none of these |
| Answer» C. r | |
| 36. |
If m is the coefficient of correlation, then the value of m2 is known as ................. |
| A. | coefficient of alienation |
| B. | coefficient of determination |
| C. | coefficient of non-determiantion |
| D. | none of these |
| Answer» B. coefficient of determination | |
| 37. |
If m is the correlation coefficient, then the quantity (1-m2) is called ...................... |
| A. | coefficient of determination |
| B. | coefficient of non-determination |
| C. | coefficient of alienation |
| D. | none of these |
| Answer» B. coefficient of non-determination | |
| 38. |
The coefficient of correlation between two variables, X and Y , will have negative sign when…… |
| A. | x is increasing, y is decreasing |
| B. | x is decreasing, y is increasing |
| C. | any one of the above |
| D. | none of these |
| Answer» C. any one of the above | |
| 39. |
Coefficient of concurrent deviation depends on .......................... |
| A. | magnitude of deviation |
| B. | direction of deviation |
| C. | both a and b |
| D. | none of these |
| Answer» B. direction of deviation | |
| 40. |
............................ refers to analysis of average relationship between two variables to provide a mechanism for prediction. |
| A. | correlation |
| B. | regression |
| C. | average |
| D. | none of these |
| Answer» B. regression | |
| 41. |
The two regression lines coincide each other when r = ....................... |
| A. | 0 |
| B. | -1 |
| C. | +1 |
| D. | none of these |
| Answer» C. +1 | |
| 42. |
The two regression lines are mutually perpendicular when r = .............. |
| A. | 0 |
| B. | -1 |
| C. | +1 |
| D. | none of these |
| Answer» A. 0 | |
| 43. |
byx is the regression coefficient of regression equation ........................... |
| A. | y on x |
| B. | x on y |
| C. | 0 |
| D. | none of these |
| Answer» A. y on x | |
| 44. |
The signs of regression coefficients will be ....................... |
| A. | different |
| B. | same |
| C. | 0 |
| D. | none of these |
| Answer» B. same | |
| 45. |
The signs of correlation coefficient and regression coefficient are ............................ |
| A. | different |
| B. | same |
| C. | 0 |
| D. | none of these |
| Answer» B. same | |
| 46. |
Scatter diagram of the various values of ( X, Y) gives the idea about ....................... |
| A. | regression model |
| B. | distribution of errors |
| C. | functional relationship |
| D. | none of the above |
| Answer» C. functional relationship | |
| 47. |
If X and Y are independent , the value of regression coefficient byx = .................... |
| A. | 1 |
| B. | 0 |
| C. | greater than 1 |
| D. | any negative value |
| Answer» B. 0 | |
| 48. |
bxy x byx = .............................. |
| A. | coefficient of regression |
| B. | coefficient of regression |
| C. | both |
| D. | none |
| Answer» C. both | |
| 49. |
If X and Y are two variables, there can be at most .......................... |
| A. | three regression lines |
| B. | two regression lines |
| C. | one regression line |
| D. | infinite number of regression lines |
| Answer» B. two regression lines | |
| 50. |
Geometric mean of regression coefficients will be .............................. |
| A. | coefficient of correlation |
| B. | coefficient of determination |
| C. | coefficient of variation |
| D. | none of these |
| Answer» A. coefficient of correlation | |
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