STATISTICS STAT 222

Review questions chapter 17 Tutoring spring 2020 1. If the coefficient of determination is 0.975, then which of the following is true regarding the slope of the regression line? a. All we can tell is that it must be positive. b. It must be 0.975. c. It must be 0.987. d. Cannot tell the sign or the value. 2. If the coefficient of correlation is 0.60, then the coefficient of determination is: a. 0.60 b. 0.36 c. 0.36 d. 0.77 3. The standard error of estimate s is given by: a. b. c. d. 4. In a regression problem, if the coefficient of determination is 0.95, this means that: a. 95% of the y values are positive. b. 95% of the variation in y can be explained by the variation in x. c. 95% of the y values are predicted correctly by the model. d. None of these choices. 5. In simple linear regression, the coefficient of correlation r and the least squares estimate b1 of the population slope 1: a. must be equal. b. must have the same sign. c. are not related. d. None of these choices. 6. The confidence interval estimate of the expected value of y for a given value x, compared to the prediction interval of y for the same given value of x and confidence level, will be: a. wider. b. the same. c. narrower. d. impossible to know. 7. The standardized residual is defined as: a. residual multiplied by the square root of the standard error of estimate. b. residual multiplied by the standard error of estimate. c. residual divided by the square of the standard error of estimate. d. residual divided by the standard error of estimate. Chapter 17 1. The adjusted coefficient of determination is adjuste...

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