Short answer questions a . Agree or Disagree (and justify your answer): If the d
ID: 1228274 • Letter: S
Question
Short answer questions
a. Agree or Disagree (and justify your answer): If the distribution of error term u in a population regression model is not normal, then the usual t-statistic is useless.
b. Agree or Disagree (and justify your answer): If you add an independent variable to a multiple regression model and the R2 value rises, this indicates that adding the variable to the model was a good idea.
c. A model to explain the standardized outcome on a final exam (stndfnl) in terms of percentage of classes attended (atndrte) and prior college grade point average (priGPA) is:
Explanation / Answer
1. No, I do not agree. When the errors are not normally distributed, the distrubution does not behaves normally. In such a scenario, it becomes difficult to make inferences through t distribution.
b. I agree. If addition of a variable maked the value of R2 high then adding it was a good idea. This is because a high coefficient of determination implies that data fits well and it can be helpful to predict future outcomes.
c. If value of B3 is positive, it implies that there is positive relation between value of priot grade and final performance of the student when, When prior grade point increases, student's final result also improves.
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