Stat Ch14
CHAPTER 14—SIMPLE LINEAR REGRESSION
MULTIPLE CHOICE 1. value of a. b. c. d. ANS: A 2. a. b. c. d. ANS: A 3. correlation a. b. c. d. ANS: C 4. a. b. c. d. ANS: D 5. The mathematical equation relating the independent variable to the expected value of the dependent variable; that is, E(y) = β0 + β1x, is known as a. regression equation b. correlation equation c. estimated regression equation d. regression model ANS: A 6. a. b. c. d. ANS: C 7. a. b. c. d. In regression analysis, the unbiased estimate of the variance is coefficient of correlation coefficient of determination mean square error slope of the regression equation The model developed from sample data that has the form of is known as regression equation correlation equation estimated regression equation regression model In regression analysis, the model in the form is called regression equation correlation equation estimated regression equation regression model If the coefficient of determination is a positive value, then the coefficient of must also be positive must be zero can be either negative or positive must be larger than 1 The coefficient of determination cannot be negative is the square root of the coefficient of correlation is the same as the coefficient of correlation can be negative or positive In a regression analysis, the error term ε is a random variable with a mean or expected zero one any positive value any value
a. b. c. d. ANS: C 8. a. b. c. d. ANS: B 9. a. b. c. d. ANS: A 10. a. b. c. d. ANS: D 11. a. b. c. d. ANS: C 12. error term ε? a. b. c. d. ANS: A The standard error is the
coefficient of correlation coefficient of determination mean square error slope of the regression equation
The interval estimate of the mean value of y for a given value of x is prediction interval estimate confidence interval estimate average regression x versus y correlation interval
The interval estimate of an individual value of y for a given value of x is prediction interval estimate confidence
MULTIPLE CHOICE 1. value of a. b. c. d. ANS: A 2. a. b. c. d. ANS: A 3. correlation a. b. c. d. ANS: C 4. a. b. c. d. ANS: D 5. The mathematical equation relating the independent variable to the expected value of the dependent variable; that is, E(y) = β0 + β1x, is known as a. regression equation b. correlation equation c. estimated regression equation d. regression model ANS: A 6. a. b. c. d. ANS: C 7. a. b. c. d. In regression analysis, the unbiased estimate of the variance is coefficient of correlation coefficient of determination mean square error slope of the regression equation The model developed from sample data that has the form of is known as regression equation correlation equation estimated regression equation regression model In regression analysis, the model in the form is called regression equation correlation equation estimated regression equation regression model If the coefficient of determination is a positive value, then the coefficient of must also be positive must be zero can be either negative or positive must be larger than 1 The coefficient of determination cannot be negative is the square root of the coefficient of correlation is the same as the coefficient of correlation can be negative or positive In a regression analysis, the error term ε is a random variable with a mean or expected zero one any positive value any value
a. b. c. d. ANS: C 8. a. b. c. d. ANS: B 9. a. b. c. d. ANS: A 10. a. b. c. d. ANS: D 11. a. b. c. d. ANS: C 12. error term ε? a. b. c. d. ANS: A The standard error is the
coefficient of correlation coefficient of determination mean square error slope of the regression equation
The interval estimate of the mean value of y for a given value of x is prediction interval estimate confidence interval estimate average regression x versus y correlation interval
The interval estimate of an individual value of y for a given value of x is prediction interval estimate confidence