1 |
The value of the coefficient of correlation relies between__________. |
-1 and +1
0 and 1
-1 and 0
-0.5 and + 0.5
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2 |
The regression equation always passes throught_________. |
(X, Y)
(X, y̅)
(X̅, Y)
(X̅, y̅)
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3 |
When bxy is positive, then byx will be _______. |
Negative
Positive
Zero
One
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4 |
The straight line graph of the linear equation Y = a + bX, the slope will be upward it_______. |
b = 0
b < 0
b > 0
b ≠ 0
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5 |
In simple linear regression, the number of unknown constants are: |
Two
Three
Four
Five
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6 |
If the value of any regression coefficient is zero, then two variable are _______. |
Qualitative
Correlation
Dependent
Independent
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7 |
The _______ regression line always passes through (X̅, y̅). |
Opposite
Estimated
Estimates
Random
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8 |
The variable, whose resulting value depends upon the selected value of the independent variable is called______. |
Regression
Regressor
Regressand
Coefficient
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9 |
A data points falling along a straight line is called______. |
Linear relationship
Non-linear relationship
Linear positive
Scatter diagram
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10 |
A relationship where the flow of the data points is best represented by a curve is called_______. |
Linear positive
Linear negative
Linear relationship
Nonlinear relatiobship
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11 |
The variable, that forms the basis of estimation, is called_______. |
Regression
Regressor
Regressand
Estimated
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12 |
A process by which we estimate the value of dependent variable on the basis of one or more independent variable is called_________. |
Residual
Correlation
Regression
Slope
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13 |
An example in a two-sided, alternative hypothesis is: |
H<sub>1</sub> :u < 0
H<sub>1</sub> : u > 0
H<sub>1</sub> L u <u>></u> 0
H<sub>1</sub> : u ≠ 0
|
14 |
Given=μ0 = 170, X̅ = 190,σ = 36 and n = 9; which statistic is appropriate? |
t
z
x2
F
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15 |
Which of the following is not composite hypothesis? |
<sup>μ <u><</u> μ</sup><sub>^</sub>
μ <u>></u> μ<sub>0</sub>
μ = μ<sub>o</sub>
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16 |
Suppose that the null hypothesis is true and it is rejected, is known as: |
α type-I error, and its probability is β
α type-I error, and its probability is α
α type-II error, and its probability is α
α type-II error, and its probability is β
|
17 |
The degree of confidence is equal to: |
β
1 - β
1 - α
α
|