Stepwise regression is an iterative procedure that:
a. adds one independent variable at a time
b. deletes one independent variable at a time
c. adds one dependent variable at a time
d. either adds one independent variable at a time or deletes one independent variable at a time
e. both adds one independent variable at a time and deletes one independent variable at a time
Q. 2Stepwise regression is especially useful when there are:
a. a great many independent variables
b. few independent variables
c. a great many dependent variables
d. few dependent variables
e. two independent variables
Q. 3The stepwise regression analysis is best used as a preliminary tool for identifying which of a large number of variables should be considered in the model.
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Q. 4Stepwise regression analysis is most useful when it is anticipated that there are curvilinear relationships between the dependent variable and the potential independent variables.
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Q. 5If a stepwise regression procedure is used to enter, one at a time, three variables into a regression model, the resulting regression equation may differ from the regression equation that occurs when all three variables are entered at one step.
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Q. 6If stepwise procedure is used, a variable selected at an earlier step can be removed from the model if, in the presence of other variables, it no longer contributes significantly to explaining the variation in the dependent variable y.
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Q. 7In constructing a multiple regression model with two independent variables x1 and x2 it was known that the correlation between x1 and y is .75, and the correlation between x2 and y is .55 . Based on this information, the regression model containing both independent variable will explain 65 of the variation in the dependent variable y.
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Q. 8Stepwise regression is a statistical technique that is always implemented when developing a regression model to fit a nonlinear relationship between the dependent and potential independent variables.
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