MCQ 26

                                          MCQ 26 

 26.  A variable showing ……………………………. in a model is called economic variable e.g. income, consumption etc.

 A.         Physical quantities.

 B.          Financial quantities.

 C.         Consumptional quantities.

 D.          Economic quantities.

 27.  Economic variable are of two types.

         (a).  Exogenous variable .

         

  A.        Non-exogenous variable.

  B.        Endogenous variable.

  C.        Non-endogenous variable.

  D.        Extra exogenous variable.

28.    The values of exogenous variable are pre determined or determined outside of the economic system. These are similar to

  A.       Independent variable.

  B.       Dependent variable.

  C.       Discrete Variable.

  D.       Continues variable.

 

29.   The values of endogenous variables are determined by the interplay of several factors ……………. the economic system e.g. in the income, consumption model, income is exogenous variable and consumption is endogenous variable.

 A.        Insides.

 B.        Outsides.

 C.        Side by side.

 D.        Involved.

30.   There are two forms of relationship.

          a) Non stochastic (deterministic ).

           

A.        Non probabilistic (Error).

B.        Non deterministic (True).

C.        Stochastic (probabilistic).

D.        Statistics (Measurement).

31       The relation between x and y is said to be ................... or exact if for each value of x, there is only one value of dependent variable.

A.        Non deterministic.

B.        Deterministic.

C.        Possibilistic.         

D.        Inexact.                  

32.       The relation between x and y is said to be................ if for particular value of x, there is whole distribution.

A.       Sure.

B.       Deterministic.

C.       Stochastic.  

D.       Exact.   

33.      An/A ……………………………… is just a mathematical equation involving certain variables and constants.

A.        Mathematical relationship.

B.        Statistical relationship.

C.        Binomial relationship.

D.        Economic relationship.

34.      There are two types of …………………………

          a) Linearity in variables.

          b) Linearity in constants.

A.        Functions.

B.        Formulae.

C.        Relationship.

D.        Assumptions.

35       According to Gass Markove`s theorem “The variances of least square estimates are

A.        Maximum”.

B.        Minimum”.

C.        Equal”.

D.        Not equal”.

36.      Gass Markove`s theorem is also called

A.        RED property.

B.        BLUE property.

C.        GREEN property.

D.        WHITE property.

37.      The residual is defined as the deviation of response variable from the predictor.

A.        No comments.

B.        False.

C.        True.

D.        Depending upon situation.

38.      e_i (residual ) is called

A.        Estimated error.

B.        Sampling error.

C.        Random error.

D.        Error.

39.      e_i (residual ) is not a single value but has distribution , because it is a

A.        Fixed variable.

B.        Non random variable.

C.        Random variable.

D.        Constant variable.

40       The sum of residual is

A.        Infinity.

B.        1.

C.        -1.

D.        0.

41.      The sum of the product of residual and explanatory variable is

A.        0.

B.        1.

C.        Infinity.

D.        -1.

42.      The sum of the product of residual and predictor variable is

A.        0.

B.        1.

C.        Infinity.

D.        -1

43.      The coefficient of determination is not a coefficient of correlation.

A.        No comments.

B.        False.

C.        True.

D.        Depending upon situation.

44.      The numerical measurement of the association of one variable or the other variable is called the coefficient of

A.        Correlation.

B.        Regression.

C.        Constant.

D.        Single value.

45.      How much proportion of y depends on x is called coefficient of determination.

A.        No comments.

B.        False.

C.        True.

D.        Depending upon situation.

46.      In simple regression equation, coefficient of determination and coefficient of correlation are

A.        Different.

B.        Same.

C.        Not equal.

D.        Minimum.

47.      When there is normality, least square estimates and maximum likelihood estimators become

 A.       Different.

 B.       Equivalent.

 C.       Not equal.

 D.       Minimum.

48.      A linear regression model with more than ……………….. is called multiple linear regression models.

A.        One regressor.

B.        Two regressors.

C.        Three regressors.

D.        Four regressors.

49.      Simple linear regression model is a special case of multiple linear regressions having

A.        One regressor.

B.        Two regressors.

C.        Three regressors.

D.        Four regressors

50.      General linear regression is an extension of linear regression and it involves more than one

A.        Dependent variable.

B.         Variable.

C.        Constant value.

D.        Independent variable.

 

     Answers

26	D	27	B	28	A	29	A	30	C
31	B	32	C	33	D	34	C	35	B
36	B	37	C	38	A	39	C	40	D
41	A	42	A	43	C	44	A	45	C
46	B	47	B	48	A	49	A	50	D