Chapter 16: Regression Analysis: Model Building

A regression model in the form of y = β0 + β1x1 + ε is referred to as a
1. simple first-order model with two predictor variables
2. simple second-order model with one predictor variable
3. simple second-order model with two predictor variables
4. simple first-order model with one predictor variable
5. none of the above
A regression model in the form of is referred to as a
1. second-order model with three predictor variables
2. second-order model with two predictor variables
3. second-order model with one predictor variable
4. first-order model with one predictor variable
5. none of the above
Serial correlation is the
1. correlation between serial numbers of products
2. same as autocorrelation
3. same as leverage
4. none of the above
The joint effect of two variables acting together is called
1. autocorrelation
2. interaction
3. serial correlation
4. none of the above
A test to determine whether or not first order autocorrelation is present is
1. a t test
2. an F test
3. a test of interaction
4. 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?
1. a t test
2. a z test
3. an F test
4. none of the above
In multiple regression analysis, the general linear model
1. can not be used to accommodate curvilinear relationships between dependent variables and independent variables
2. can be used to accommodate curvilinear relationships between independent variables and dependent variables
3. must contain more than two independent variables
4. none of the above
The range of the Durbin-Watson statistic is between
1. -1 and 1
2. 0 and 1
3. - infinity and 1 infinity
4. 0 and 4
5. none of the above
The multiple regression approach to the analysis of variance uses dummy variables
1. True
2. False
The correlation in error terms that arises when the error terms at successive points in time are related is termed
1. leverage
2. multicorrelation
3. autocorrelation
4. parallel correlation
5. none of the above