McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Economics (CBCS) .
Chapters
| 101. |
Normal distribution is also known as |
| A. | Bernoulli distribution |
| B. | Gaussian distribution |
| C. | Laplacian distribution |
| D. | Cauchy’s distribution |
| Answer» B. Gaussian distribution | |
| 102. |
The value of constant ‘e’ appearing in normal distribution is |
| A. | 3.1416 |
| B. | 2.1783 |
| C. | 2.7183 |
| D. | 2.8317 |
| Answer» C. 2.7183 | |
| 103. |
In normal distribution |
| A. | Mean < median < mode |
| B. | Mean = median = mode |
| C. | Mean > median > mode |
| D. | Mean = median > mode |
| Answer» B. Mean = median = mode | |
| 104. |
The normal distribution curve is |
| A. | Positively skewed |
| B. | not skewed |
| C. | negatively skewed |
| D. | None of the above |
| Answer» B. not skewed | |
| 105. |
The shape of the normal curve is |
| A. | Bell shaped |
| B. | Flat |
| C. | Circular |
| D. | Spiked |
| Answer» A. Bell shaped | |
| 106. |
The area under a standard normal curve is |
| A. | 0 |
| B. | ∞ |
| C. | 1 |
| D. | Not defined |
| Answer» C. 1 | |
| 107. |
The standard normal curve is symmetric about the value |
| A. | 0 |
| B. | ∞ |
| C. | 1 |
| D. | 1.5 |
| Answer» A. 0 | |
| 108. |
For a normal curve, the QD, MD and SD are in the ratio |
| A. | 1:2:3 |
| B. | 5:6:7 |
| C. | 9:10:11 |
| D. | 10:12:15 |
| Answer» D. 10:12:15 | |
| 109. |
Under normal curve, the area enclosed by ‘ mean ± 2σ ’ is |
| A. | 68.26% |
| B. | 95.44% |
| C. | 99.73% |
| D. | 100% |
| Answer» B. 95.44% | |
| 110. |
If the Pearson correlation co-efficient R is equal to 1, then: |
| A. | there is a positive relationship between the two variables. |
| B. | there is a negative relationship between the two variables. |
| C. | There is a perfect positive relationship between the two variables. |
| D. | there is no relationship between the two variables. |
| Answer» C. There is a perfect positive relationship between the two variables. | |
| 111. |
The study of the relationship between one variables and the combined effect of all other variables is called |
| A. | Multiple correlation |
| B. | Total correlation |
| C. | Partial correlation |
| D. | Simple correlation |
| Answer» A. Multiple correlation | |
| 112. |
The estimation of correlation between yield of wheat and chemical fertilizers eliminating the effect of pesticides and manures is an example of |
| A. | Simple correlation |
| B. | Partial correlation |
| C. | Total correlation |
| D. | Multiple correlation |
| Answer» B. Partial correlation | |
| 113. |
In regression analysis, the variable that is being predicted is the |
| A. | Dependent variable |
| B. | Independent variable |
| C. | Indeterminate variable |
| D. | Combine variable |
| Answer» A. Dependent variable | |
| 114. |
If two variables, x and y, have a very strong linear relationship, then |
| A. | there is evidence that x causes a change in y |
| B. | there is evidence that y causes a change in x |
| C. | there might not be any causal relationship between x and y |
| D. | None of the above |
| Answer» C. there might not be any causal relationship between x and y | |
| 115. |
A process by which we estimate the value of dependent variable on the basis of one or more independent variables is called: |
| A. | Correlation |
| B. | Regression |
| C. | Residual |
| D. | Deviation |
| Answer» B. Regression | |
| 116. |
When all data points are falling along a straight line it is called: |
| A. | Linear relationship |
| B. | Non-linear relationship |
| C. | Scatter diagram |
| D. | Multiple relationship |
| Answer» D. Multiple relationship | |
| 117. |
The value we would predict for the dependent variable when the independent variables are all equal to zero is called: |
| A. | Slope |
| B. | Sum of residual |
| C. | Intercept |
| D. | Origin |
| Answer» C. Intercept | |
| 118. |
The predicted rate of change of the dependent variable to changes in the independent variable is called: |
| A. | Slope |
| B. | Intercept |
| C. | Error |
| D. | Constant |
| Answer» A. Slope | |
| 119. |
To measure ranked variables the following correlation coefficient is used |
| A. | Pearson’s |
| B. | Spearman’s |
| C. | Fisher’s |
| D. | Marshall-Edgeward |
| Answer» B. Spearman’s | |
| 120. |
Which of the following equation is used to describe linear relationship |
| A. | y = a + bx2 |
| B. | y = ax2 + b |
| C. | y = ax3 + b |
| D. | y = a + bx |
| Answer» D. y = a + bx | |
| 121. |
The geometric mean of the two regression coefficient βyx and βxy is equal to: |
| A. | r |
| B. | r 2 |
| C. | 1 |
| D. | 2 |
| Answer» A. r | |
| 122. |
The estimate of β in the regression equation Y=α+βx+e by the method of least square is: |
| A. | Biased |
| B. | Unbiased |
| C. | Consistent |
| D. | Constant |
| Answer» B. Unbiased | |
| 123. |
Regression coefficient is independent of |
| A. | Value |
| B. | Scale |
| C. | Both Origin and Scale |
| D. | Origin |
| Answer» A. Value | |
| 124. |
If the two lines of regression are perpendicular to each other, the correlation coefficient r is: |
| A. | 0 |
| B. | 1 |
| C. | -1 |
| D. | 2 |
| Answer» A. 0 | |
| 125. |
The range of a partial correlation coefficient is: |
| A. | 0 to 1 |
| B. | -1 to 0 |
| C. | 0 to ∞ |
| D. | -1 to 1 |
| Answer» D. -1 to 1 | |
| 126. |
Regression analysis: |
| A. | Measures the demand for goods |
| B. | Measures growth |
| C. | Established the relationship between two variables |
| D. | Estimate the value of variables |
| Answer» C. Established the relationship between two variables | |
| 127. |
R2 is the mathematical notation for |
| A. | The coefficient of variation |
| B. | Pearson’s co-efficient of correlation |
| C. | The coefficient of determination |
| D. | The coefficient of Alienation |
| Answer» C. The coefficient of determination | |
| 128. |
Let the coefficient of determination computed to be 0.39 in a problem involving one independent variable and one dependent variable. This result means that |
| A. | The correlation coefficient is 0.39 also |
| B. | 39% of the total variation is explained by the independent variable |
| C. | 39% of the total variation is explained by the dependent variable |
| D. | Rank correlation coefficient is 0.61 |
| Answer» B. 39% of the total variation is explained by the independent variable | |
| 129. |
The relationship between correlation coefficient and coefficient of determination is that |
| A. | Both are unrelated |
| B. | Coefficient of correlation is the square root of the coefficient of determination |
| C. | The coefficient of determination is the square root of the coefficient of correlation |
| D. | The coefficient of determination is the coefficient of correlation squared |
| Answer» B. Coefficient of correlation is the square root of the coefficient of determination | |
| 130. |
Which of the following values could not represent a correlation coefficient? |
| A. | r = 0.99 |
| B. | r = 0.02 |
| C. | r = -0.73 |
| D. | r = 1.09 |
| Answer» D. r = 1.09 | |
| 131. |
In the regression equation Y = 21 – 3x, the slope is |
| A. | 21 |
| B. | 3 |
| C. | -3 |
| D. | 18 |
| Answer» C. -3 | |
| 132. |
If covariance of X and Y is 20, the standard deviation of X is 8 and standard deviation of Y is 5 then the value of coefficient of correlation is |
| A. | 1.5 |
| B. | 1 |
| C. | 0.5 |
| D. | 0.25 |
| Answer» C. 0.5 | |
| 133. |
In regression analysis, R is also called the |
| A. | residual |
| B. | coefficient of correlation |
| C. | Coefficient of variation |
| D. | coefficient of determination |
| Answer» D. coefficient of determination | |
| 134. |
The coefficient of determination must be |
| A. | between -1 and +1 |
| B. | between -1 and 0 |
| C. | between 0 and 1 |
| D. | Between 1 and 2 |
| Answer» C. between 0 and 1 | |
| 135. |
The correlation coefficient is the of two regression coefficients: |
| A. | Median |
| B. | Arithmetic mean |
| C. | Harmonic mean |
| D. | Geometric mean |
| Answer» A. Median | |
| 136. |
The coefficient of correlation for a problem was calculated to be 0.36. The coefficient of determination for this would be |
| A. | 0.72 |
| B. | 0.13 |
| C. | 0.36 |
| D. | 1 |
| Answer» B. 0.13 | |
| 137. |
If X and Y in a regression model are totally unrelated, then |
| A. | The correlation coefficient would be -1 |
| B. | The coefficient of determination would be o |
| C. | The coefficient of determination would be 1 |
| D. | The coefficient of coefficient would be 1 |
| Answer» D. The coefficient of coefficient would be 1 | |
| 138. |
If the value of correlation coefficient between X and Y is ‘0’ then |
| A. | Positive correlation between X and Y |
| B. | Negative correlation between X and Y |
| C. | Absence of Correlation between X and Y |
| D. | Perfectly positive correlation between X and Y |
| Answer» C. Absence of Correlation between X and Y | |
| 139. |
In simple linear regression, the numbers of unknown constants are: |
| A. | two |
| B. | three |
| C. | four |
| D. | five |
| Answer» A. two | |
| 140. |
In simple regression equation, the numbers of variables involved are: |
| A. | 1 |
| B. | 2 |
| C. | 3 |
| D. | 4 |
| Answer» B. 2 | |
| 141. |
If the value of any regression coefficient is zero, then two variables are: |
| A. | Correlation |
| B. | Dependent |
| C. | Determinant |
| D. | Independent |
| Answer» D. Independent | |
| Explanation: If the value of any regression coefficient is zero, it indicates that there is no linear relationship between the two variables, meaning the variables are independent. | |
| 142. |
The straight line graph of the linear equation Y=a+ bX, will slope upward if: |
| A. | b=0 |
| B. | b<0 |
| C. | b>0 |
| D. | b = -1 |
| Answer» C. b>0 | |
| 143. |
The straight line graph of the linear equation Y=a+bX will slope downward if: |
| A. | b > 0 |
| B. | b<0 |
| C. | b = 0 |
| D. | b = 1 |
| Answer» D. b = 1 | |
| 144. |
If Y= 2 - 0.2X, then the value of Y intercept is equal to: |
| A. | -0.2 |
| B. | 2 |
| C. | 0.2X |
| D. | 1.08 |
| Answer» B. 2 | |
| 145. |
The dependent variable in a regression is also called: |
| A. | Regressor |
| B. | Constant variable |
| C. | Continuous variable |
| D. | Regressand |
| Answer» D. Regressand | |
| 146. |
The independent variable in a regression is also called: |
| A. | Regressor |
| B. | Regressand |
| C. | Predictand |
| D. | Determinat |
| Answer» A. Regressor | |
| 147. |
In the regression equation Y=a+bX, the Y is called: |
| A. | Independent variable |
| B. | Dependent variable |
| C. | Continuous variable |
| D. | Constant variable |
| Answer» B. Dependent variable | |
| 148. |
If the points on the scatter diagram show no tendency either to increase together or decrease together the value of r will be close to: |
| A. | -1 |
| B. | +1 |
| C. | 0 |
| D. | 2 |
| Answer» C. 0 | |
| 149. |
In the straight line graph of the linear equation Y=a+bX, the slope is horizontal if: |
| A. | b=-1 |
| B. | b≠0 |
| C. | b=1 |
| D. | b =0 |
| Answer» D. b =0 | |
| 150. |
Fisher's index number is the |
| A. | Arithmetic mean of Paasche's index number and Laspeyres' index number |
| B. | Harmonic mean of Paasche's index number and Laspeyres' index number |
| C. | Average mean of Paasche’s index number and Laspeyres’ index number |
| D. | Geometric mean of Paasche's index number and Laspeyres' index number |
| Answer» D. Geometric mean of Paasche's index number and Laspeyres' index number | |
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