F distributions have the following characteristics (MARK ALL THAT ARE TRUE):
A. |
They are strictly non-negative |
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B. |
They depend on two types of degrees of freedom |
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C. |
They are skewed |
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D. |
They have degrees of freedom equal to the difference in expected variances |
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E. |
They are symmetric |
Dependent samples are characterized by the following (MARK ALL THAT ARE TRUE):
A. |
The variance of the paired differences is a weighted average of the independent samples |
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B. |
Often a tradeoff occurs between reduced degrees of freedom and reduced variability |
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C. |
Samples can be paired in multiple ways |
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D. |
Samples are collected such that pairs of observations are related |
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E. |
Increased degrees of freedom result due to a doubling of the sample size |
The properties of a least squares regression line are (mark all that are correct):
A. |
It always passes through the point that marks the mean of x and mean of y |
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B. |
The sum of squared residuals is at a minimum. |
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C. |
The sum of squared residuals is zero. |
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D. |
The sum of the residual errors is at a minimum. |
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E. |
The sum of the residual errors is zero |
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F. |
It always passes through (0,0) |
I am noting down the correct points for each part
F distributions have the following characteristics (MARK ALL THAT ARE TRUE):
a) They are strictly non-negative
b) They depend on two types of degrees of freedom
c) They are skewed
Dependent samples are characterized by the following (MARK ALL THAT ARE TRUE):
b) Often a tradeoff occurs between reduced degrees of freedom and reduced variability
d) Samples are collected such that pairs of observations are related
The properties of a least squares regression line are (mark all that are correct):
a) It always passes through the point that marks the mean of x and mean of y
b) The sum of squared residuals is at a minimum.
e) The sum of the residual errors is zero
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