Generally speaking, if two quantitative variables are unrelated, the covariance will be a positive or negative number close to zero.
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Q. 2Each F-distribution is identified by two numbers of degrees of freedom, one for each of the two samples involved.
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Q. 3The standard deviation is a measure of the linear relationship between two quantitative variables.
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Q. 4Inferences about the ratio of variances for two normally distributed populations use the F-distribution.
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Q. 5A perfect straight line sloping downward would produce a covariance value of 1.
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Q. 6The critical F-value for samples of size 8 and 10 with 5 of the area in the right-hand tail is determined by the value F(8, 10, 0.05).
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Q. 7A perfect straight line sloping upward would produce a covariance value of +1.
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Q. 8Inferences about the ratio of two variances require that the samples are randomly selected from F-distributed populations, and that the two samples are selected in an independent manner.
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