business analytics regression quiz
20. "In multiple regression analysis,
"there can be several independent variables, but only one dependent variable"
In a regression and correlation analysis if r2 = 1, then
SSE must be equal to zero
In a regression and correlation analysis if r2 = 1, then
SSR = SST
In simple linear regression analysis, which of the following is not true?
The F test and the t test may or may not yield the same conclusion.
A variable that cannot be measured in numerical terms is called
a qualitative variable
"In a multiple regression model, the error term E is assumed to"
be normally distributed
"In multiple regression analysis, the general linear model"
can be used to accommodate curvilinear relationships between the independent variables and dependent variable
If the coefficient of determination is 0.81, the coefficient of correlation" is
could be either + 0.9 or - 0.9
"In regression analysis, the variable that is being predicted is the"
dependent variable
In a multiple regression model, the values of the error term , E, are assumed to be
independent of each other
The joint effect of two variables acting together is called
interaction
The parameters of nonlinear models have exponents
larger than 1
Larger values of r2 imply that the observations are more closely grouped about the
least squares line
"In a situation where the dependent variable can assume only one of the two possible discrete values,"
logistic regression should be applied
A least squares regression line
may be used to predict a value of y if the corresponding x value is given
A term used to describe the case when the independent variables in a multiple regression model are correlated is
multicollinearity
In multiple regression analysis, the correlation among the independent variables is termed
multicollinearity
A regression model in which more than one independent variable is used to predict the dependent variable is called
multiple regression model
"In logistic regression,"
the dependent variable only assumes two discrete values
The adjusted multiple coefficient of determination is adjusted for
the number of independent variables
The equation that describes how the dependent variable (y) is related to the independent variable (x) is called
the regression model
Serial correlation is
the same as autocorrelation
In a multiple regression model, the variance of the error term E is assumed to be
the same for all values of the independent variable
Correlation analysis is used to determine
the strength of the relationship between the dependent and the independent variables
If two variables, x and y, have a strong linear relationship, then
there may or may not be any causal relationship between x and y
In regression analysis, the independent variable is
used to predict the dependent variable
"In a regression analysis, the coefficient of correlation is 0.16. The coefficient of determination in this situation is
0.0256
In a regression analysis, the coefficient of determination is 0.4225. The coefficient of correlation in this situation is
0.65
If all the points of a scatter diagram lie on the least squares regression line, then the coefficient of determination for these variables based on these data is"
1
A test to determine whether or not first-order autocorrelation is present is
A test of interaction*
A test used to determine whether or not first order autocorrelation is present is
Durbin-Watson Test
"In a regression model involving more than one independent variable, which of the following tests must be used in order to determine if the relationship between the dependent variable and the set of independent variables is significant?"
F test
Which of the following tests is used to determine whether an additional variable makes a significant contribution to a multiple regression model?
F test
