If the coefficient of determination is .95, the percentage of variation in the dependent variable explained by the variation in the independent variable is Question 16 options: .95%. 95%. 90.25%. .9025%.
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In a linear regression problem, if the coefficient of determination is 0.9025, this means that: Select one: a. 95% of the y values are predicted correctly by the model. b. 95% of the variation in y can be explained by the variation in x. c. 95% of the y values are positive. d. None of these choices. e. Correlation coefficient value is either +0.95 or -0.95.
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If the coefficient of determination is .9 for a simple linear model, then which of the following statement is true: The percentage of variation in the dependent variable explained by the independent variable is 90% The percentage of variation in the dependent variable explained by the independent variable is 65% The percentage of variation in the dependent variable explained by the independent variable is 100% None of the statements are correct
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