For each of the problems below, complete the following
steps:
a) Calculate the regression coefficients (a and b) for each
problem, for both X predicting Y, and Y predicting X.
b) Calculate the Standard Error of the Estimate for both X
predicting Y, and Y predicting X.
c) Calculate the predicted values for each of the given X and
Y values.
1) Standardized test scores are used to measure a student’s
current learning and understanding of relevant material. They may
also be used to predict future academic success, as is often the
case with the Graduate Record Examination, or the GRE, which is
mandatory when applying to most graduate level programs. The GRE
can be useful, as it tends to be correlated with undergraduate, as
well as graduate level GPA. The data below represent the
undergraduate GPAs and corresponding GRE scores for students
applying to Masters programs. The top score for the GRE is
340.
GRE score: mean = 272.889; S = 72.945
GPA: mean = 3.244; S = 0.662
r = 0.841
Predict the GPA based on the following GRE scores: 300, 210,
195
Predict the GRE score based on the following GPAs: 3.76, 3.4,
2.8