We can test the null hypothesis that ñ = 0 by transforming the sample correlation
coefficient into a statistic that has a sampling distribution that closely approximates the F
distribution with k - 1 degrees of freedom.
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Q97: The mean of a sampling distribution of
Q98: When ñ Q99: The _ of the estimated standard error Q100: The equation for the general linear model Q101: r2 is formally known as the coefficient Q103: The estimated standard error of estimate estimates Q104: The assumption that the population distributions of Q105: Another useful index of the strength of Q106: Variance homogeneity can be problematic for the Q107: r2 represent the proportion of variability that![]()
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