McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Bachelor of Arts in Economics (BA Economics) .
| 51. |
The set of all possible outcomes of an experiment or measurement is known as |
| A. | population |
| B. | census |
| C. | sample |
| D. | variable |
| Answer» A. population | |
| 52. |
conditional mean of Y given X value is denoted as |
| A. | con y |
| B. | e(y/x) |
| C. | prob (y/x) |
| D. | e(x/y) |
| Answer» B. e(y/x) | |
| 53. |
An expected value is the same as |
| A. | average value |
| B. | standard deviation |
| C. | dispersion |
| D. | none of the above |
| Answer» A. average value | |
| 54. |
The locus of points conditional means of the dependent variable for the fixed values of the explanatory variables is |
| A. | venn diagram |
| B. | lorenz curve |
| C. | probability curve |
| D. | population regression curve |
| Answer» D. population regression curve | |
| 55. |
The regression line or curve passes through |
| A. | origin |
| B. | vertical axis |
| C. | horizontal axis |
| D. | conditional means |
| Answer» D. conditional means | |
| 56. |
E (Y/Xi) = f (Xi) is known as |
| A. | population regression function |
| B. | sample regression function |
| C. | expected average |
| D. | none of the above |
| Answer» A. population regression function | |
| 57. |
In the regression function E(Y/Xi)=β1+β2Xi, regression coefficients are |
| A. | y and x |
| B. | y and β1 |
| C. | β1and β2 d β2 an |
| D. | xi |
| Answer» C. β1and β2 d β2 an | |
| 58. |
the regression function E(Y/Xi)=β1+β2Xi is a |
| A. | linear regression function |
| B. | sample regression function |
| C. | non linear regression function |
| D. | log linear regression function |
| Answer» A. linear regression function | |
| 59. |
in the regression function E(Y/Xi)=β1+β2Xi , β1 is |
| A. | intercept coefficient |
| B. | slope coefficient |
| C. | variable |
| D. | average value |
| Answer» A. intercept coefficient | |
| 60. |
in the regression function E(Y/Xi)=β1+β2Xi , β2 is |
| A. | aintercept coefficient |
| B. | slope coefficient |
| C. | variable |
| D. | average value |
| Answer» B. slope coefficient | |
| 61. |
the regression function E(Y/Xi)=β1+β2Xi 2 is linear in |
| A. | variables |
| B. | parameters |
| C. | coefficients |
| D. | none of the above |
| Answer» B. parameters | |
| 62. |
in the regression function E (Y⁄X ) = β + β X is linear in |
| A. | variables |
| B. | parameters |
| C. | coefficients |
| D. | none of the above |
| Answer» A. variables | |
| 63. |
in the function Yi= β1+β2Xi+ui, the term ui refers to |
| A. | variable |
| B. | parameters |
| C. | coefficient |
| D. | stochastic error term |
| Answer» D. stochastic error term | |
| 64. |
in the function Yi= β1+β2Xi+ui, the term ui is ------- in nature |
| A. | random |
| B. | nonsystematic |
| C. | all of the above |
| D. | none of the above |
| Answer» C. all of the above | |
| 65. |
“the descriptions be kept as simple as possible until proved inadequate” corresponds to |
| A. | occam’s razor |
| B. | index numbers |
| C. | regression |
| D. | correlation |
| Answer» A. occam’s razor | |
| 66. |
The rule or formula that tells how to estimate the population parameter from the sample information is called |
| A. | estimate |
| B. | estimator |
| C. | population |
| D. | coefficient |
| Answer» B. estimator | |
| 67. |
The function Y = β + β X is a |
| A. | sample regression function |
| B. | non linear regression function |
| C. | log linear regression function |
| D. | population regression function |
| Answer» A. sample regression function | |
| 68. |
the most popular method of constructing sample regression function in the regression analysis is |
| A. | method of ols |
| B. | generalised squares |
| C. | ordinary regression method |
| D. | none of the above |
| Answer» A. method of ols | |
| 69. |
the method of ordinary least squares is attributed to |
| A. | pearson |
| B. | pashee |
| C. | fisher |
| D. | carl friedrich gauss |
| Answer» D. carl friedrich gauss | |
| 70. |
If each estimator provides only a single value of the relevant population parameter, it is |
| A. | point estimator |
| B. | interval estimator |
| C. | class estimator |
| D. | single estimator |
| Answer» A. point estimator | |
| 71. |
If each estimator provides a range of possible values relevant population parameter, it is |
| A. | point estimator |
| B. | interval estimator |
| C. | class estimator |
| D. | single estimator |
| Answer» B. interval estimator | |
| 72. |
The sample regression line obtained through the OLS method passes through |
| A. | sample means |
| B. | sample standard deviation |
| C. | origin |
| D. | vertical axis |
| Answer» A. sample means | |
| 73. |
The Gaussian standard classical linear regression model assumes------- assumptions |
| A. | seven |
| B. | ten |
| C. | five |
| D. | eight |
| Answer» B. ten | |
| 74. |
Which is the assumption of Gaussian standard classical linear regression model |
| A. | linear regression model |
| B. | x values are fixed |
| C. | zero mean values for disturbances |
| D. | all of the above |
| Answer» D. all of the above | |
| 75. |
The numerical value obtained by the estimator in an application is known as |
| A. | estimate |
| B. | estimator |
| C. | population |
| D. | coefficient |
| Answer» A. estimate | |
| 76. |
Homoscedasticity means------ for disturbances |
| A. | equal mean |
| B. | equal variance |
| C. | zero mean |
| D. | none of the above |
| Answer» B. equal variance | |
| 77. |
The literal meaning of econometrics is |
| A. | estimation |
| B. | economic measurement |
| C. | forecasting |
| D. | testing |
| Answer» B. economic measurement | |
| 78. |
Economic theory makes statements that are mostly |
| A. | quantitative |
| B. | qualitative |
| C. | positive |
| D. | none of the above |
| Answer» B. qualitative | |
| 79. |
In the function, Q= α+βP, the intercept coefficient is |
| A. | α |
| B. | β |
| C. | p |
| D. | q |
| Answer» B. β | |
| 80. |
Heteroscedasticity implies |
| A. | equal spread |
| B. | unequal spread |
| C. | equal mean |
| D. | equal variance |
| Answer» B. unequal spread | |
| 81. |
Given any two X values the classical linear regression model assumes the correlation between the disturbances as |
| A. | one |
| B. | infinity |
| C. | negative |
| D. | zero |
| Answer» D. zero | |
| 82. |
which is the dependent variable in the Keynesian consumption function |
| A. | income |
| B. | consumption |
| C. | price |
| D. | output |
| Answer» B. consumption | |
| 83. |
in the regression context, the OLS estimators are BLUE according to |
| A. | central limit theorem |
| B. | gauss markov theorem |
| C. | young theorem |
| D. | fisher’s theorem |
| Answer» B. gauss markov theorem | |
| 84. |
The summary measure used to measure the goodness of fit of a regression line |
| A. | coefficient of determination |
| B. | coefficient of variation |
| C. | standard error d standar |
| D. | deviation |
| Answer» A. coefficient of determination | |
| 85. |
The numerical value of coefficient of determination lies between |
| A. | -1 and 1 |
| B. | 0 and 1 |
| C. | -∞ to +∞ |
| D. | -∞ to 1 |
| Answer» B. 0 and 1 | |
| 86. |
The classical theory of statistical inference consists of |
| A. | estimation and hypothesis testing |
| B. | regression and correlation |
| C. | averages and dispersion |
| D. | none of the above |
| Answer» A. estimation and hypothesis testing | |
| 87. |
The rejecting of a true hypothesis is called |
| A. | type i error |
| B. | type ii error |
| C. | standard error |
| D. | point estimation |
| Answer» A. type i error | |
| 88. |
Which of the following is used to measure the degree of association between two variables |
| A. | coefficient of determination |
| B. | coefficient of correlation |
| C. | standard error d standar |
| D. | deviation |
| Answer» B. coefficient of correlation | |
| 89. |
The accepting of a false hypothesis is called |
| A. | type i error |
| B. | type ii error |
| C. | standard error |
| D. | point estimation |
| Answer» B. type ii error | |
| 90. |
The larger the standard error, the ----- the width of the confidence interval |
| A. | smaller |
| B. | larger |
| C. | infinity |
| D. | cannot calculate |
| Answer» B. larger | |
| 91. |
-β represents: |
| A. | Diminishing returns to scale |
| B. | Increasing returns to scale |
| C. | Constant returns to scale |
| D. | None of the above |
| Answer» C. Constant returns to scale | |
| 92. |
_____ is the best criteria to judge the validity of a model : |
| A. | Assumptions |
| B. | Information it provides |
| C. | Its simplicity |
| D. | predictive power |
| Answer» D. predictive power | |
| 93. |
The given function f (x) = ax + b, is an example of ____ function: |
| A. | quadratic |
| B. | polynomial |
| C. | linear |
| D. | rational |
| Answer» C. linear | |
| 94. |
The given function f (x) = ax2 + bx + c , is an example of ____ function: |
| A. | quadratic |
| B. | polynomial |
| C. | linear |
| D. | rational |
| Answer» A. quadratic | |
| 95. |
For a utility function u = xy + 3x + 4y, marginal utility of good x is: |
| A. | xy + 3x + 4y |
| B. | y + 3 |
| C. | x + 4 |
| D. | y + 3x |
| Answer» B. y + 3 | |
| 96. |
Given a consumption function C = 250 + 0.75Yd, autonomous consumption is ____ |
| A. | 0.75 |
| B. | 0 |
| C. | 250 |
| D. | -0.75 |
| Answer» C. 250 | |
| 97. |
For a total cost function TC = 1.5Q2 + 4Q + 46, MC is : |
| A. | 1.5Q + 4 + |
| B. | 1.5Q + 4 |
| C. | 1.5Q |
| D. | 4Q + 46 |
| Answer» A. 1.5Q + 4 + | |
| 98. |
Abstraction from reality is made based on : |
| A. | assumptions |
| B. | prediction |
| C. | theory |
| D. | hypothesis |
| Answer» A. assumptions | |
| 99. |
____ is a simplified description of reality, designed to yield hypothesis about economic behaviour that can be tested. |
| A. | theory |
| B. | postulate |
| C. | proposition |
| D. | economic model |
| Answer» B. postulate | |
| 100. |
____ models are mathematical models designed to be used with data. |
| A. | Empirical |
| B. | Visual |
| C. | Mathematical |
| D. | Simulation |
| Answer» A. Empirical | |
Done Studing? Take A Test.
Great job completing your study session! Now it's time to put your knowledge to the test. Challenge yourself, see how much you've learned, and identify areas for improvement. Don’t worry, this is all part of the journey to mastery. Ready for the next step? Take a quiz to solidify what you've just studied.