MCQOPTIONS
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MCQOPTIONS
This section includes 3246 Mcqs, each offering curated multiple-choice questions to sharpen your Current Affairs knowledge and support exam preparation. Choose a topic below to get started.
| 151. |
The numerical value given to the likelyhood of the occurrence of an event is called................ |
| A. | correlation |
| B. | regression |
| C. | probability |
| D. | none of these |
| Answer» D. none of these | |
| 152. |
.............................. refers to the chance of happening or not happening of an event. |
| A. | regression |
| B. | probability |
| C. | correlation |
| D. | none of these |
| Answer» C. correlation | |
| 153. |
If one regression coefficient is positive, the other is ....................... |
| A. | positive |
| B. | negative |
| C. | zero |
| D. | 1 |
| Answer» B. negative | |
| 154. |
Dependent variable is also called ............................ |
| A. | explained variable |
| B. | explanatory variable |
| C. | 4.0 |
| D. | 0.4 |
| Answer» B. explanatory variable | |
| 155. |
While analysing the relationship between variables, independent variable is alsocalled.................................. |
| A. | explained variable |
| B. | explanatory variable |
| C. | variable |
| D. | none of these |
| Answer» C. variable | |
| 156. |
The regression coefficient and correlation coefficient of two variables will be the same, if their.................... are same. |
| A. | standard deviation |
| B. | arithmetic mean |
| C. | mean deviation |
| D. | none of these |
| Answer» B. arithmetic mean | |
| 157. |
The square root of coefficient of determination is ................... |
| A. | coefficient of correlation |
| B. | coefficient of regression |
| C. | coefficient of variation |
| D. | none of these |
| Answer» B. coefficient of regression | |
| 158. |
If the sign of regression coefficient bxy is negative, then the sign of regression coefficient byx willbe ........................ |
| A. | positive |
| B. | negative |
| C. | none of these |
| Answer» C. none of these | |
| 159. |
The arithmetic mean of bxy and byx is .......................... |
| A. | equal to one |
| B. | greater than r |
| C. | francis galton |
| D. | none of these |
| Answer» C. francis galton | |
| 160. |
If the correlation between the two variables , X and Y is negative, the regression coefficient ofY on X is ............................. |
| A. | zero |
| B. | positive |
| C. | negative |
| D. | not certain |
| Answer» D. not certain | |
| 161. |
Regression lines are also called ......................... |
| A. | correlation graph |
| B. | scatter diagram |
| C. | scatter diagram |
| D. | none of these |
| Answer» D. none of these | |
| 162. |
In .........................regression, only one independent variable is used to explain the dependentvariable. |
| A. | linear |
| B. | multiple |
| C. | scatter diagram |
| D. | none of these |
| Answer» B. multiple | |
| 163. |
If a constant 30 is subtracted from each of the value of X and Y , the regression coefficient is.......................... |
| A. | reduced by 30 |
| B. | increased by 30 |
| C. | not changed |
| D. | 1/30th of the original regression |
| Answer» D. 1/30th of the original regression | |
| 164. |
The term regression was used firstly by ............................. |
| A. | prof. karl pearson |
| B. | edward spearman |
| C. | none of these |
| Answer» D. | |
| 165. |
In a regression line of Y on X, the variable X is known as .................................. |
| A. | explanatory variable |
| B. | independent variable |
| C. | regressor |
| D. | all the above |
| Answer» E. | |
| 166. |
Geometric mean of regression coefficients will be .............................. |
| A. | coefficient of correlation |
| B. | coefficient of determination |
| C. | coefficient of variation |
| D. | none of these |
| Answer» B. coefficient of determination | |
| 167. |
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» C. one regression line | |
| 168. |
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» C. greater than 1 | |
| 169. |
bxy x byx = .............................. |
| A. | coefficient of regression |
| B. | coefficient of regression |
| C. | both |
| D. | none |
| Answer» D. none | |
| 170. |
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» D. none of the above | |
| 171. |
The signs of correlation coefficient and regression coefficient are ............................ |
| A. | different |
| B. | same |
| C. | none of these |
| Answer» C. none of these | |
| 172. |
The signs of regression coefficients will be ....................... |
| A. | different |
| B. | same |
| C. | none of these |
| Answer» C. none of these | |
| 173. |
The two regression lines are mutually perpendicular when r = .............. |
| A. | 0 |
| B. | -1 |
| C. | +1 |
| D. | none of these |
| Answer» B. -1 | |
| 174. |
byx is the regression coefficient of regression equation ........................... |
| A. | y on x |
| B. | x on y |
| C. | none of these |
| Answer» B. x on y | |
| 175. |
The two regression lines coincide each other when r = ....................... |
| A. | 0 |
| B. | -1 |
| C. | +1 |
| D. | none of these |
| Answer» D. none of these | |
| 176. |
............................ refers to analysis of average relationship between two variables to provide amechanism for prediction. |
| A. | correlation |
| B. | regression |
| C. | average |
| D. | none of these |
| Answer» C. average | |
| 177. |
Coefficient of concurrent deviation depends on .......................... |
| A. | magnitude of deviation |
| B. | direction of deviation |
| C. | both a and b |
| D. | none of these |
| Answer» C. both a and b | |
| 178. |
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» D. none of these | |
| 179. |
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» C. coefficient of non-determiantion | |
| 180. |
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» C. coefficient of alienation | |
| 181. |
Spearman’s coefficient of correlation is usually denoted by ................. |
| A. | r |
| B. | k |
| C. | r |
| D. | none of these |
| Answer» D. none of these | |
| 182. |
Product moment correlation was developed by ....................... |
| A. | karl pearson |
| B. | charles edward spearman |
| C. | kelly |
| D. | none of these |
| Answer» B. charles edward spearman | |
| 183. |
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» B. +1 | |
| 184. |
................................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» B. coefficient of standered deviation | |
| 185. |
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» C. -1 | |
| 186. |
If r =0.9, coefficient of determination is ......................... |
| A. | 9% |
| B. | 90% |
| C. | absence |
| D. | none of these |
| Answer» D. none of these | |
| 187. |
If the plotted points of a scatter diagram fall on a narrow band, it indicates a. ............degree ofcorrelation. |
| A. | zero |
| B. | low |
| C. | high |
| D. | none of these |
| Answer» D. none of these | |
| 188. |
If the ratio of change in one variable is equal to the ratio of change in the other variable, thecorrelation is said to be .................................. |
| A. | linear |
| B. | curvi-linear |
| C. | non-linear |
| D. | none of these |
| Answer» B. curvi-linear | |
| 189. |
Coefficient of correlation is independent of ........................................ |
| A. | origin |
| B. | scale |
| C. | both |
| D. | none |
| Answer» D. none | |
| 190. |
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» B. high degree of negative correlation | |
| 191. |
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» B. perfect correlation | |
| 192. |
……….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» B. partial correlation | |
| 193. |
………..is the study of correlation between one dependent variable with one independent variable bykeeping the other independent variables as constant. |
| A. | multiple correlation |
| B. | simple correlation |
| C. | partial correlation |
| D. | none of the above |
| Answer» D. none of the above | |
| 194. |
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» C. multiple correlation | |
| 195. |
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» C. coefficient of correlation | |
| 196. |
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» E. | |
| 197. |
In correlation analysis, P.E. = ....................0.6745 |
| A. | standard error |
| B. | probable error |
| C. | coefficient of non-determination |
| D. | coefficient of alienation |
| Answer» B. probable error | |
| 198. |
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» C. testing of hypothesis | |
| 199. |
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» B. high degree of correlation | |
| 200. |
Correlation can be ............................................ |
| A. | positive only |
| B. | negative only |
| C. | between +1 and -1 |
| D. | positive |
| Answer» D. positive | |