A researcher was interested in how students’ Graduate Record Examinations scores (GREQ- Quantitative and GREV-Verbal) predict college...

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A researcher was interested in how students’ Graduate RecordExaminations scores (GREQ- Quantitative and GREV-Verbal) predictcollege students’ graduate school Grade Point Average (GGPA). Hecollects data from 30 college students. The GRE Quantitative (X1)and GRE Verbal (X2) scores can range from 400-1600 (Note. This isthe old GRE score scale). GGPA (Y) can range from 0.00 to 4.00.

GREQGREVGGPA
6255402.16
5756803.60
5204802.00
5455202.48
5204902.88
6555353.44
6307203.68
5005002.40
6055753.76
5556902.72
5055452.96
5405152.08
5205202.48
5857102.16
6006104.00
6255402.16
5756803.60
5204802.00
5455202.48
5204902.88
6555353.44
6307203.68
5005002.40
6055753.76
5556902.72
5055452.96
5405152.08
5205202.48
5857102.16
6006104.00
  1. If someone were to increase their GRE-Quantitative score by 50points, how much would you expect his or her GPA to change, aftercontrolling for the GRE-Verbal variability? Show how you calculatedyour answer. (8 p)

  2. In your own words explain why you think that the model did notexplain all of the variability in GGPA. In other words, what otherfactors might play a role in increasing the amount of variabilityexplained in GGPA. (8 p)

  3. Which of the two independent variables contributes more weightto the regression equation? In other words, which independentvariable contributes more to the explanation of the dependentvariable variability? Justify why you believe your answer iscorrect. (6 p)

  4. Report and interpret the Pearson Correlation coefficientsbetween GGPA & GREQ, GGPA & GREV, and GREQ & GREV. (12p)

Answer & Explanation Solved by verified expert
4.3 Ratings (792 Votes)
If someone were to increase their GREQuantitative score by 50 points how much would you expect his or her GPA to change after controlling for the GREVerbal variability Show how you calculated your answer 8 p The regression equation is Regression output confidence interval variables coefficients std error t df27 pvalue 95 lower 95 upper Intercept 13216 GREQ 00056 00025 2226 0346 00004 00108 GREV 00017 00015 1173 2511 00013 00048 Predicted values for GGPA 95 Confidence Interval 95 Prediction Interval GREQ GREV Predicted lower upper lower upper    See Answer
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