1. It refers to analysis of average relationship between two variables to provide mechanism for prediction
A. Correlation
B. Standard error
C. Regression
D. None of these
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2. If there are two variables, there can be at most…………………………. number of regression lines
A. One
B. Two
C. Three
D. Infinite
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3. If the regression line is Y on X, then the variable X is known as
A. Independent variable
B. Explanatory variable
C. Regressor
D. All the above
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4. Regression line is also known as
A. Estimating equation
B. Prediction equation
C. Line of average relationship
D. All the above
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5. Which of the following statement is false?
A. The geometric mean of the two regression coefficients (byx and bxy) gives coefficient of correlation.
B. Both the regression coefficients will always have the same sign
C. Coefficient of correlation will have the same sign as that of regression coefficients
D. None of the above
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6. Regression coefficients are independent of change of
A. Origin
B. Scale
C. Both of the above
D. None of the above
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7. If the regression line is Y on X, then the variable X is known as
A. Dependent variable
B. Independent variable
C. Both of the above
D. None of the above
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8. Coefficient of correlation will have the …………. sign as that of regression coefficients
A. Different
B. Same
C. No
D. None of the above
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9. If r = ± 1, the two regression lines are
A. Coincident
B. Parallel
C. Perpendicular to each other
D. None of these
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10. The point of intersection of two regression lines is
A. (0,0)
B. (x,y)
C. (1,1)
D. (x̄ , ӯ)
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11. When the relationship between the variables is linear, the technique is called
A. Simple linear regression
B. Correlation
C. Standard Error
D. None of the above
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12. The objective of simple linear regression is to represent the relationship between ……….. variables
A. Three
B. Two
C. Multiple
D. None of the above
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13. In Yi = β0 + β1 Xi + ei, β0 is
A. Y-intercept
B. Slope of the regression line
C. Value of the dependent variable
D. Value of the independent variable
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14. If r = 1, the angle between the two regression lines is
A. Ninety degree
B. Thirty degree
C. Zero degree
D. Sixty degree
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15. If bxy and byx are two regression coefficients, they have
A. Opposite signs
B. Same signs
C. Either (a) or (b)
D. None of the above
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16. If byx > 1, then bxy is
A. Greater than one
B. Less than one
C. Equal to one
D. Equal to zero
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17. If X and Y are independent, the value of byx is equal to
A. Zero
B. One
C. Infinity
D. Any positive value
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18. If one regression coefficient is negative, the other is
A. Zero
B. Negative
C. Positive
D. None of the above
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19. If r = 0, the two regression lines are
A. Perpendicular to each other
B. Coincident
C. Parallel
D. None of these
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20. In Yi = β0 + β1 Xi + ei, β1 is
A. Value of the dependent variable
B. Value of the independent variable
C. Slope of the regression line
D. Error term
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