UCF QMB 3200 Final Exam Test Study

UCF QMB 3200 Final Exam Test Study Questions and Answers (Verified Answers) 1.The difference between the observed value of the dependent variable and the value predicted using the estimated regression equation is called a(n) ANS residual 2.Influential observations always ANS increase the value of the correlation.

3.A graph of the standardized residuals plotted against values of the normal scores that helps to determine whether the assumption that the error term has a normal probability distribution appears to be valid is called a ANS normal probability plot. 1 / 3

4.The tests of significance in regression analysis are based on several as- sumptions about the error term [. Additionally, we make an assumption about the form of the relationship between x and y. We assume that the relationship between x and y is ANS linear 5.Suppose a residual plot of x verses the residuals, y - w, shows a nonconstant variance. In particular, as the values of x increase, suppose that the values of the residuals also increase. This means that ANS as the values of x get larger, the ability to predict y becomes less accurate.

6.In a regression analysis, an outlier will always increase ANS the value of the correlation.

7.Regression analysis can be interpreted as a procedure for establishing a cause-and-effect relationship between variables 2 / 3

ANS False 8.An F test, based on the F probability distribution, can be used to test for ANS significance in regression.

9.The tests of significance in regression analysis are based on assumptions about the error term [. One such assumption is that the values of [ are ANSinde- pendent 10.When constructing a confidence or a prediction interval to quantify the re- lationship between two quantitative variables, what distribution do confidence and prediction intervals follow ANS t distribution 11.The value of the coefficient of correlation (r)