True or false: Both correlation and linear regression require a straight line relationship between X and Y.
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True or false: X and Y can be interchanged in both correlation and linear regression.
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True or false: Slope and correlation (r) always have the same sign.
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True or false: The regression line always passes through the point (, ).
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Which of the following values for r2 indicate perfect fit (i.e., all data points are on the regression line.)
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True or false: r2 is a measure of how successfully the regression line explains the variation in y.
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True or false: If r2 is really close to 100%, then the sum of squared residuals is very small.
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True or false: r2 measures the fraction of y values that are exactly predicted by the x values.
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What does total variation in the y’s measure?
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Suppose two different explanatory variables have a linear relationship with a response variable, y. The regression line using variable #1 has an r2 of 47% and the regression line using variable #2 has an r2 of 89%. Which explanatory variable explains the most variation in y?
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