Top 250+ Solved Quantitative Techniques MCQ Questions Answer

From 211 to 225 of 251

Q. The value of the correlation coefficient ranges from

a. 0 to 1

b. -1 to 0

c. -1 to 1

d. 0 to 10

  • c. -1 to 1

Q. If both the variables are varying in the same direction, the correlation is said to be

a. Positive correlation

b. Negative correlation

c. Partial correlation

d. None of the above

  • a. Positive correlation

Q. When two events cannot occur simultaneously in a single trial it is called

a. Mutually exclusive events

b. Collectively exclusive events

c. Mutually exhaustive events

d. None of the above

  • a. Mutually exclusive events

Q. When the outcome of one event does not affect the outcome of the other it is said to be

a. Dependent event

b. Independent event

c. Mutually exclusive event

d. Equally likely events

  • b. Independent event

Q. Regression coefficient is independent of

a. Origin

b. Scale

c. Both origin and scale

d. None of the above

  • a. Origin

Q. The slope of regression line of Y on X is also called the

a. Correlation coefficient of Y on X

b. Correlation coefficient of X on Y

c. Regression coefficient of X on Y

d. Regression coefficient of Y on X

  • d. Regression coefficient of Y on X

Q. Two events that cannot be happened simultaneously is known as:

a. Exhaustive events

b. Independent events

c. Mutually exclusive events

d. none of the above

  • c. Mutually exclusive events

Q. If two events A and B are mutually exclusive the probability of the occurrence of either Aor B is the sum individual probability of A and B. This theorem is called:

a. Multiplication theorem

b. Addition theorem

c. Classical probability

d. Subtraction theorem

  • b. Addition theorem

Q. If both variables are varying in the opposite direction, it is called:

a. Partial correlation

b. Positive correlation

c. High degree of correlation

d. Negative correlation

  • d. Negative correlation

Q. In perfect positive correlation:

a. r = 0

b. r = -1

c. r = +1

d. r = +/- 1

  • c. r = +1

Q. In regression analysis, the variable that is being predicted is the

a. explained or dependentvariable

b. independent variable

c. intervening variable

d. is usually x

  • a. explained or dependentvariable

Q. The coefficient of correlation

a. is the square of the coefficient of determination

b. is the square root of the coefficient of determination

c. is the same as r-square

d. can never be negative

  • b. is the square root of the coefficient of determination

Q. The total current year prices for the various commodities in question is divided by the total of base year prices and the quotient is multiplied under

a. simple aggregative method

b. simple average of relative method

c. weighted aggregative method

d. Laspeyres’ methos

  • a. simple aggregative method
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