One problem with stepwise multiple regression is that Questi

One problem with stepwise multiple regression is that:

Question 14 options:

you can only enter up to two variables in any single regression equation.

independent variables do not have to be orthogonal to be significant predictors in the model.

c. if two of the independent variables have lots of overlapping variability, one will be chosen as the predictor and the other one may be discarded even if the opposite pattern occurs in a slightly different sample.

d.it is only useful when you have a specific theory about which of the independent variables will be the best predictor of the dependent variable.

a.

you can only enter up to two variables in any single regression equation.

b.

independent variables do not have to be orthogonal to be significant predictors in the model.

c. if two of the independent variables have lots of overlapping variability, one will be chosen as the predictor and the other one may be discarded even if the opposite pattern occurs in a slightly different sample.

d.it is only useful when you have a specific theory about which of the independent variables will be the best predictor of the dependent variable.

Solution

c. if two of the independent variables have lots of overlapping variability, one will be chosen as the predictor and the other one may be discarded even if the opposite pattern occurs in a slightly different sample.

One problem with stepwise multiple regression is that: Question 14 options: you can only enter up to two variables in any single regression equation. independen

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