Exhibit 10.1
The following questions are based on the problem description and the output below.
A college admissions officer wants to evaluate graduate school applicants based on their GMAT scores, verbal and quantitative. Students are classified as either successful or not-successful in their graduate studies. The officer has data on 20 current students, ten of whom are doing very well (Group 1) and ten who are not (Group 2) .
-Refer to Exhibit 10.1. Based on the regression output, what is the discriminant score for a student with a quantitative score of 635 and a verbal score of 570?
A) 1.72 ≤ discriminant score ≤ 1.73
B) 2.02 ≤ discriminant score ≤ 2.03
C) 3.04 ≤ discriminant score ≤ 3.05
D) 6.12 ≤ discriminant score ≤ 6.14
Correct Answer:
Verified
Q45: Data mining tasks fall in the following
Q46: Cluster analysis is a data mining technique
Q47: Neural networks classification methodology
A) is one of
Q48: Technique(s) used in classification step of data
Q49: In the _ step of data mining,
Q51: Logistic regression is a classification technique that
A)
Q52: _ and _ must be chosen each
Q53: A graphical representation of a set of
Q54: Given the following confusion matrix
Q55: Plots useful in data mining analysis can
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