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NEW QUESTION: 1
A group of season ticket holders wants to forecast attendance at National Football League (NFL) games for the upcoming season. One ticket holder argues that using the population of the United States as the only independent variable would explain as much as using both the United States population and the percent change in disposable income (per capita) as independent variables. Another ticket holder argues that using the percent change in disposable income (per capita) asthe only independent variable would provide the most accurate forecast. Listed below are the Adjusted R2 values for three regression models. Based on these values, and keeping in mind that the ticket holders are only concerned about forecasting, what is the correct conclusion?
- NFL Attendance vs. US Population and Percent Change in Disposable Income.
Adjusted R2= 0.8964 - NFL Attendance vs. US Population: Adjusted R2= 0.8609 - NFL Attendance vs. Percent Change in Disposable Income. Adjusted R2= -0.0244
A. The Adjusted R2 of NFL Attendance vs. US Population is higher than that of NFL Attendance vs. Percent Change in Disposable Income, so US Population should be the only independent variable in the regression model.
B. The Adjusted R2 of NFL Attendance vs. US Population and Percent Change in Disposable Income is higher than that of either single variable regression model, so both US Population and Percent Change in Disposable Income should be included in the regression model.
C. The Adjusted R2 of NFL Attendance vs. Percent Change in Disposable Income is negative, so Percent Change in Disposable Income should be excluded from any regression model.
D. There is not any information regarding the p-values of the independent variables, so it is impossible to determine the explanatory power of the regression models.
Answer: B

NEW QUESTION: 2
Eric has created a script library based on WSDL from a Web service. Here is the code from the script library: Class EMPLOYEE As XSD_ANYTYPE Public EMPNAME As String Public EMPTITLE As String Public EMPEMAIL As String Public EMPPHONE As StringSub NEW End Sub End Class Class EmpData As PortTypeBase Sub NEW Call Service.Initialize ("UrnDefaultNamespaceEmpDataService", _"EmpDataService.Domino",_"http://ibm.com/app.nsf/EmpData?OpenWebService", "EmpData") End Sub Function GETEMPINFO(EMPID As String) As EMPLOYEE Set GETEMPINFO = Service.Invoke("GETEMPINFO", EMPID) End Function End Class Eric is referencing this script library from his Notes code. If the EMPID is "12345", how can Eric get the EMPNAME value for the corresponding employee?
A. GetEmpInfo("12345")
B. DimempInfo As New EmpData
C. GetValueAsString(emp(3))
D. Dimemp() As Variant
E. strPhone = emp(3)
F. DimstrPhone As String
G. DimstrPhone As String
H. Dimemp As Employee
I. EmpPhone
J. GetEmpInfo("12345")
K. Dimemp As EMPLOYEE
L. DimstrPhone As String
M. DimempInfo As New EMPLOYEE
N. EmpPhone
O. GetEmpInfo("12345")
P. DimempInfo As New EMPDATA
Q. Dimxa As New XSD_ANYTYPE()
R. Dimemp As New Employee
S. DimstrPhone As String
T. GetEmpInfo("12345")
Answer: T

NEW QUESTION: 3
A (*,G) multicast entry is associated with which multicast type of feature within the HW IP multicast network?
A. Dense Tree
B. Source tree
C. PIM bidirectional
D. Dense Mode
E. Sparse Mode
F. Shared tree
Answer: C,E,F