# Regression and Prediction

05 / 03 / 2018 Assignment

This paper circulates around the core theme of Regression and Prediction together with its essential aspects. It has been reviewed and purchased by the majority of students thus, this paper is rated 4.8 out of 5 points by the students. In addition to this, the price of this paper commences from £ 45. To get this paper written from the scratch, order this assignment now. 100% confidential, 100% plagiarism-free.

A researcher wants to predict graduate-school grade point average (GPA) from GRE verbal scores (which is what the pesky GRE is supposed to do, anyway!). She gathers data on fifty graduate students. Below are the data “high points”:

Independent (predictor) variable X = GRE verbal score
Mean .missouri.edu/exec/data/courses2/coursegraphics/2425/X.gif”> = 520
Standard Deviation .missouri.edu/exec/data/courses2/coursegraphics/2425/06-8.gif”> = 90
Dependent (criterion) variable Y = GPA
Mean .missouri.edu/exec/data/courses2/coursegraphics/2425/06-9.gif”> = 3.30
Standard Deviation .missouri.edu/exec/data/courses2/coursegraphics/2425/06-10.gif”> = 0.88
r = .50 (correlation between GRE verbal and GPA)

A. Given a score of 580 on the GRE verbal test, what GPA would you predict?

B. Calculate the standard error for the predicted GPA for 1A.

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