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A researcher is studying 378 nurses enrolled in an online RN to BSN completion program and...

  1. A researcher is studying 378 nurses enrolled in an online RN to BSN completion program and analyzing how age, level of engagement, motivation and time spent studying impact the final test score. When she enters age and motivation into the regression model the R square change associated with each is NOT significant. You would recommend:
    1. Not including age and motivation in the regression model
    2. Rechecking the math, this is a type II error
    3. Only including motivation and time spent studying
    4. Decreasing the sample size
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Answer #1

Option (A): Not including age and motivation in the regression model

>> When the variables are not significant in the model, we drop out those variables from the regression model to make the model simple.

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