Q9. Consider the regression results from the regression of Y against X for 50 observations: Y = 5.0 - 1.5 X The standard error of the estimate is 0.40 and the standard error of the coefficient is 0.45. The predicted value of Y if X is 10 is: A) 10. B) 20. C) -10.
Q10. Consider the regression results from the regression of Y against X for 50 observations: Y = 5.0 + 1.5 X The standard error of the coefficient is 0.50 and the standard error of the forecast is 0.52. The 95% confidence interval for the predicted value of Y if X is 10 is: A) {19.480 < Y < 20.052}. B) {18.980 < Y < 21.019}. C) {18.954 < Y < 21.046}.
Q11. A variable Y is regressed against a single variable X across 24 observations. The value of the slope is 1.14, and the constant is 1.3. The mean value of X is 1.10, and the mean value of Y is 2.67. The standard deviation of the X variable is 1.10, and the standard deviation of the Y variable is 2.46. The sum of squared errors is 89.7. For an X value of 1.0, what is the 95% confidence interval for the Y value? A) −1.68 to 6.56. B) −1.83 to 6.72. C) 0.59 to 4.30.
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发表于 2009-1-7 14:17
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