Top 150+ Solved Business Statistics MCQ Questions Answer

From 76 to 90 of 178

Q. The regression coefficient of X on Y is:

a. bXY

b. bYX

c. Not Specified

d. none

  • a. bXY

Q. Regression Coefficient of Y on X is:

a. bXY

b. bYX

c. Not Specified

d. none

  • b. bYX

Q. If one of the regression coefficient is greater than unity, the other must be:

a. More than Unity

b. Less than Unity

c. Unity

d. none

  • b. Less than Unity

Q. The regression coefficients re independent of change of origin but:

a. Not of Scale

b. Also of Scale

c. No Change in scale

d. none

  • a. Not of Scale

Q. The coefficient of correlation between the regression coefficients is:

a. Arithmetic Mean

b. Geometric Mean

c. Average

d. none

  • b. Geometric Mean

Q. The correlation coefficient is used to determine:

a. A specific value of the y-variable given a specific value of the x-variable

b. A specific value of the x-variable given a specific value of the y-variable

c. The strength of the relationship between the x and y variables

d. None of these

  • c. The strength of the relationship between the x and y variables

Q. If there is a very strong correlation between two variables then the correlation coefficient must be:

a. any value larger than 1

b. much smaller than 0, if the correlation is negative

c. much larger than 0, regardless of whether the correlation is negative or positive

d. None of these alternatives is correct

  • b. much smaller than 0, if the correlation is negative

Q. In regression, the equation that describes how the response variable (y) is related to the explanatory variable (x) is:

a. the correlation model

b. the regression model

c. used to compute the correlation coefficient

d. None of these alternatives is correct.

  • b. the regression model

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

a. Response, or dependent, variable

b. Independent variable

c. intervening variable

d. is usually x

  • a. Response, or dependent, variable

Q. In a regression analysis if r2 = 1, then :

a. SSE must also be equal to one

b. SSE must be equal to zero

c. SSE can be any positive value

d. SSE must be negative

  • b. SSE must be equal to zero

Q. In regression analysis, the variable that is used to explain the change in the outcome of an experiment, or some natural process, is called:

a. the x-variable

b. the independent variable

c. the predictor variable

d. the explanatory variable

  • c. the predictor variable

Q. If the coefficient of determination is a positive value, then the regression equation:

a. must have a positive slope

b. must have a negative slope

c. could have either a positive or a negative slope

d. must have a positive y intercept

  • c. could have either a positive or a negative slope

Q. 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 these alternatives is correct.

  • a. there is evidence that x causes a change in y
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