Exam 16: Introduction to Regression

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A set of X and Y scores has a regression equation with a slope of b = 4.If the mean for the X values is MX = 2 and the mean for the Y values is MY = 6, then what is the Y-intercept value for the regression equation?

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A set of n = 6 pairs of X and Y values has a Pearson correlation of r = 0.80 and SSY = 100.The standard error of estimate for the regression equation is √36/4 = 3 points.

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The point defined by X = 2 and Y = -1 is located on the line defined by the equation Y = 2X - 3.

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For linear regression, the value of SSresidual can be computed directly by Σ(Y - Ŷ)2.

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For the regression equation, Ŷ = -2X + 6, what can be determined about the correlation between X and Y?

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For which of the following correlations would the data points be most widely scattered around the regression line?

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An analysis of regression is used to test the significance of a linear regression equation based on a sample of n = 20 individuals.What are the df values for the F-ratio?

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The F-ratio evaluating the significance of a linear regression equation based on n = 10 pairs of X and Y scores has df = 1, 8.

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The multiple regression with two predictor variables is computed for a sample of n = 25 participants.What is the value for degrees of freedom for the unpredicted portion of the Y-score variance, MSresidual?

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For a regression equation with a slope of b = 3, if MX = 3 and MY = 10 then the Y-intercept for the equation is 1.

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