61) Which of the following statements is trueabout r2?A) It is also called the coefficient ofcorrelation.B) It is also called the coefficient ofdetermination.C) It represents the percent of...

61) Which of the following statements is true about r2? A) It is also called the coefficient of correlation. B) It is also called the coefficient of determination. C) It represents the percent of variation in X that is explained by Y. D) It represents the percent of variation in the error that is explained by Y. E) It ranges in value from -1 to + 1. 62) The coefficient of determination resulting from a particular regression analysis was 0.85. What was the slope of the regression line? A) 0.85 B) -0.85 C) 0.922 D) There is insufficient information to answer the question. E) None of the above 63) The diagram below illustrates data with a

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A) negative correlation coefficient. B) zero correlation coefficient. C) positive correlation coefficient. D) correlation coefficient equal to +1. E) None of the above 64) The correlation coefficient resulting from a particular regression analysis was 0.25. What was the coefficient of determination? A) 0.5 B) -0.5 C) 0.0625 D) There is insufficient information to answer the question. E) None of the above

65) The coefficient of determination resulting from a particular regression analysis was 0.85. What was the correlation coefficient, assuming a positive linear relationship? A) 0.5 B) -0.5 C) 0.922 D) There is insufficient information to answer the question. E) None of the above

66) Which of the following is an assumption of the regression model? A) The errors are independent. B) The errors are not normally distributed. C) The errors have a standard deviation of zero. D) The errors have an irregular variance. E) The errors follow a cone pattern.

67) Which of the following is not an assumption of the regression model? A) The errors are independent. B) The errors are normally distributed. C) The errors have constant variance. D) The mean of the errors is zero. E) The errors should have a standard deviation equal to one. 68) In a good regression model the residual plot shows A) a cone pattern. B) an arched pattern. C) a random pattern. D) an increasing pattern. E) a decreasing pattern. 69) The problem of nonconstant error variance is detected in residual analysis by which of the following? A) a cone pattern B) an arched pattern C) a random pattern D) an increasing pattern E) a decreasing pattern

70) The problem of a nonlinear relationship is detected in residual analysis by which of the following? A) a cone pattern B) an arched pattern C) a random pattern D) an increasing pattern

E) a decreasing pattern