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A researcher wants to predict graduate-school grade point average (GPA) from GRE verbal scores (which is what the pesky. She gathers data on fifty...
A researcher wants to predict graduate-school grade point average (GPA) from GRE verbal scores (which is what the pesky. She gathers data on fifty graduate students. Below are the data "high points":
Independent (predictor) variable X = GRE verbal score Mean = 520 Standard Deviation = 90 Dependent (criterion) variable Y = GPA Mean = 3.30 Standard Deviation = 0.88 r = .50 (correlation between GRE verbal and GPA)
- Given a score of 400 on the GRE verbal test, what GPA would you predict?
- Given a score of 580 on the GRE verbal test, what GPA would you predict?
- Calculate the standard error for the predicted GPA for 1B.
- Imagine you are the researcher and you have to explain to a prospective student of the graduate program what you have done in 1B and 1C. How would you explain this in not-too-technical terms? In other words, what do calculations in 1B and 1C mean?
- Given a score of 710 on the GRE verbal test, what GPA would you predict?