The estimated standard error of estimate estimates the average error that will be made
across individuals when predicting scores on X from the regression equation.
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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 Q102: We can test the null hypothesis that 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 Q108: The test of the null hypothesis that
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