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150+ Quantitative Techniques for Business Solved MCQs

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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