Chapter 16: Regression Analysis: Model Building 
	Quiz
 
 
A regression model in the form of y = b0 + b1x1 + e is referred to as a
-   simple first-order model with two predictor variables
 -   simple second-order model with one predictor variable
 -   simple second-order model with two predictor variables
 -   simple first-order model with one predictor variables
 -   none of the above
 
 
A regression model in the form of y = b0 + b1x1 + b2X2+ e is referred to as a 
-   second-order model with three predictor variables
 -   second-order model with two predictor variables
 -   second-order model with one predictor variable
 -   first-order model with one predictor variables
 -   none of the above
 
 
Serial correlation is the 
-   correlation between serial numbers of products
 -   same as autocorrelation
 -   same as leverage
 -   none of the above
 
 
The joint effect of two variables acting together is called 
-   autocorrelation
 -   interaction
 -   serial correlation
 -   none of the above
 
 
A test to determine whether or not first order autocorrelation is present is 
-   a t test
 -   an F test
 -   a test of interaction
 -   none of the above
 
 
Which of the following tests is used to determine whether additional variables make a significant contribution to a multiple regression model? 
-   a t test
 -   a z test
 -   an F test
 -   none of the above
 
 
In multiple regression analysis, the general linear model 
-   can not be used to accommodate curvilinear relationships between dependent variables and independent variables
 -   can be used to accommodate curvilinear relationships between independent variables and dependent variables
 -   must contain more than two independent variables
 -   none of the above
 
 
The range of the Durbin-Watson statistic is between 
-   a.	-1 and 1
 -   0 and 1
 -   - infinity and + infinity
 -   0 and 4
 -   none of the above
 
 
The multiple regression approach to the analysis of variance uses dummy variables. 
-   True
 -   False
 
 
The correlation in error terms that arises when the error terms at successive points in time are related is termed 
-   leverage
 -   multicorrelation
 -   autocorrelation
 -   parallel correlation
 -   none of the above