1 |
r is the ------------ of two regression co-efficient b<sub>yx</sub> and b<sub>xy</sub> |
- A. arithmetic mean
- B. geometric mean
- C. harmonic mean
- D. median
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2 |
The variable that forms the basis of estimation is called |
- A. regression
- B. regressand
- C. regressor
- D. correlation
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3 |
The straight line graph of the linear equation Y = a + bX, the slope will be upward it_______. |
- A. b = 0
- B. b < 0
- C. b > 0
- D. b ≠ 0
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4 |
When b<sub>xy</sub> is positive, then b<sub>yx</sub> will be _______. |
- A. Negative
- B. Positive
- C. Zero
- D. One
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5 |
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- A. S<sub>xy</sub>
- B. S<sub>yx</sub>
- C. b<sub>xy</sub>
- D. b<sub>yx</sub>
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6 |
The estimated regression line always passes through |
- A. origin
- B.
- C. x-axis
- D. y-axis
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7 |
The relationship that describes the dependence of the expected value of the dependent random variable for a given value of the independent non-random variable is called |
- A. equation
- B. relation
- C. ratio
- D. regression
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8 |
The regression equation always passes throught_________. |
- A. (X, Y)
- B. (X, y̅)
- C. (X̅, Y)
- D. (X̅, y̅)
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9 |
The value of the coefficient of correlation relies between__________. |
- A. -1 and +1
- B. 0 and 1
- C. -1 and 0
- D. -0.5 and + 0.5
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10 |
If r = -1, then there is |
- A. negative correlation
- B. perfect negative correlation
- C. no correlation
- D. average correlation
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