Top 150+ Solved Business Statistics MCQ Questions Answer

From 91 to 105 of 178

Q. If the coefficient of determination is equal to 1, then the correlation coefficient :

a. must also be equal to 1.

b. can be either -1 or +1.

c. can be any value between -1 to +1

d. must be -1

  • b. can be either -1 or +1.

Q. In regression analysis, if the independent variable is measured in kilograms, the dependentvariable:

a. must also be in kilograms

b. must be in some unit of weight

c. cannot be in kilograms

d. can be any units

  • d. can be any units

Q. The strength (degree) of the correlation between a set of independent variables X and a dependent variable Y is measured by

a. Coefficient of Correlation

b. Coefficient of Determination

c. Standard error of estimate

d. All of the above

  • a. Coefficient of Correlation

Q. The percent of total variation of the dependent variable Y explained by the set of independent variables X is measured by:

a. Coefficient of Correlation

b. Coefficient of Skewness

c. Coefficient of Determination

d. Standard error

  • c. Coefficient of Determination

Q. A coefficient of correlation is computed to be -0.95 means that:

a. The relationship between two variables is weak

b. The relationship between two variables is strong and positive

c. The relationship between two variables is strong and but negative

d. Correlation coefficient cannot have this value

  • c. The relationship between two variables is strong and but negative

Q. 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 relationship between two variables is negative

b. The correlation coefficient is 0.39 also

c. 39% of the total variation is explained by the independent variable

d. 39% of the total variation is explained by the dependent variable

  • c. 39% of the total variation is explained by the independent variable

Q. Relationship between correlation coefficient and coefficient of determination is that:

a. both are unrelated

b. The coefficient of determination is the coefficient of correlation squared

c. The coefficient of determination is the square root of the coefficient of correlation

d. both are equal

  • b. The coefficient of determination is the coefficient of correlation squared

Q. Past data has shown that the regression line relating the final exam score and the midterm exam score for students who take statistics from a certain professor is: final exam = 50 + 0.5 × midterm One interpretation of the slope is

a. a student who scored 0 on the midterm would be predicted to score 50 on the final exam.

b. a student who scored 0 on the final exam would be predicted to score 50 on the midterm exam.

c. a student who scored 10 points higher than another student on the midterm would be

d. predicted to score 5 points higher than the other student on the final exam. students only receive half as much credit (.5) for a correct

  • a. a student who scored 0 on the midterm would be predicted to score 50 on the final exam.

Q. One use of a regression line is

a. to determine if any x-values are outliers.

b. to determine if any y-values are outliers.

c. to determine if a change in x causes a change in y.

d. to estimate the change in y for a one-unit change in x.

  • d. to estimate the change in y for a one-unit change in x.

Q. The percent of total variation of the dependent variable Y explained by the set of independent variables X is measured by

a. Coefficient of Correlation

b. Coefficient of Skewness

c. Coefficient of Determination

d. Standard Error or Estimate

  • c. Coefficient of Determination

Q. The strength (degree) of the correlation between a set of independent variables X and a dependent variable Y is measured by

a. Coefficient of Correlation

b. Coefficient of Determination

c. Standard error of estimate

d. All of the above

  • d. All of the above

Q. A coefficient of correlation is computed to be -0.95 means that

a. The relationship between two variables is weak.

b. The relationship between two variables is strong and positive

c. The relationship between two variables is strong and but negative

d. Correlation coefficient cannot have this value

  • c. The relationship between two variables is strong and but negative

Q. Relationship between correlation coefficient and coefficient of determination is that

a. both are unrelated

b. The coefficient of determination is the coefficient of correlation squared

c. The coefficient of determination is the square root of the coefficient of correlation

d. both are equal

  • b. The coefficient of determination is the coefficient of correlation squared

Q. The regression equation is the line with slope a passing through

a. The point (X¯¯¯¯,Y¯¯¯¯)

b. The point (Y, X)

c. The point (X, Y)

d. The point (Y¯¯¯¯,X¯¯¯¯)

  • a. The point (X¯¯¯¯,Y¯¯¯¯)

Q. A series of numerical figures which show the relative position is called

a. index no.

b. relative no.

c. absolute no.

d. none

  • a. index no.
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