Analysis: A. Incorrect. Regression analysis is used to predict the value. B. Incorrect. Regression analysis is used to predict the value. C. Incorrect. Regression analysis is used to predict the value. D. Correct. Regression analysis is used to predict the value. ANSWER: D Ref: Section 16.1-16.2 The residual is defined as the difference between: the actual value of y and the estimated value of y the actual value of x and the estimated value of x the actual value of y and the estimated value of x the actual value of x and the estimated value of y Analysis: A. Correct. The residual is defined as the difference between the actual value of y and the estimated value of y B. Incorrect. The residual is defined as the difference between the actual value of y and the estimated value of y C. Incorrect. The residual is defined as the difference between the actual value of y and the estimated value of y D. Incorrect. The residual is defined as the difference between the actual value of y and the estimated value of y ANSWER: A Ref: Section 16.1-16.2 In the simple linear regression model, the y-intercept represents the: change in y per unit change in x. change in x per unit change in y. value of y when x = 0. value of x when y = 0. Analysis: A. Incorrect. In the simple linear regression model, the y-intercept represents the value of y when x = 0 B. Incorrect. In the simple linear regression model, the y-intercept represents the value of y when x = 0 C. Correct. In the simple linear regression model, the y-intercept represents the value of y when x = 0 D. Incorrect. In the simple linear regression model, the y-intercept represents the value of y when x = 0 ANSWER: C Ref: Section 16.1-16.2
r Analysis: A. Incorrect. The symbol for the population coefficient of correlation is B. Correct. The symbol for the population coefficient of correlation is C. Incorrect. The symbol for the population coefficient of correlation is D. Incorrect. The symbol for the population coefficient of correlation is ANSWER: B Ref: Section 16.3-16.4 The symbol for the sample coefficient of correlation is: r Analysis: A. Correct. The symbol for the sample coefficient of correlation is r B. Incorrect. The symbol for the sample coefficient of correlation is r C. Incorrect. The symbol for the sample coefficient of correlation is r D. Incorrect. The symbol for the sample coefficient of correlation is r ANSWER: A Ref: Section 16.3-16.4 The coefficient of correlation is used to determine: the strength and direction of the linear relationship between x and y. the least squares estimates of the regression parameters. the predicted value of y for a given value of x. All of these choices. Analysis: A. Correct. The coefficient of correlation is used to determine the strength and direction of the linear relationship between x and y. B. Incorrect. The coefficient of correlation is used to determine the strength and direction of the linear relationship between x and y. C. Incorrect. The coefficient of correlation is used to determine the strength and direction of the linear relationship between x and y. D. Incorrect. The coefficient of correlation is used to determine the strength and direction of the linear relationship between x and y. ANSWER: A Ref: Section 16.3-16.4 If the coefficient of correlation between x and y is close to 1.0, this indicates that: y causes x to happen. x causes y to happen. both (a) and (b) . there may or may not be a causal relationship between x and y.