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The Following Questions Are Based on the Problem Description, Regression

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The following questions are based on the problem description, regression results, and the RiskSolver Platform (RSP) Discriminant Analysis report 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) .
The following questions are based on the problem description, regression results, and the RiskSolver Platform (RSP) Discriminant Analysis report 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. What is the cut-off value (cell E26) for this data using the mid-point cut-off method? A) 1.189 B) 1.499 C) 1.809 D) 2.000 The following questions are based on the problem description, regression results, and the RiskSolver Platform (RSP) Discriminant Analysis report 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. What is the cut-off value (cell E26) for this data using the mid-point cut-off method? A) 1.189 B) 1.499 C) 1.809 D) 2.000 The following questions are based on the problem description, regression results, and the RiskSolver Platform (RSP) Discriminant Analysis report 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. What is the cut-off value (cell E26) for this data using the mid-point cut-off method? A) 1.189 B) 1.499 C) 1.809 D) 2.000 The following questions are based on the problem description, regression results, and the RiskSolver Platform (RSP) Discriminant Analysis report 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. What is the cut-off value (cell E26) for this data using the mid-point cut-off method? A) 1.189 B) 1.499 C) 1.809 D) 2.000 The following questions are based on the problem description, regression results, and the RiskSolver Platform (RSP) Discriminant Analysis report 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. What is the cut-off value (cell E26) for this data using the mid-point cut-off method? A) 1.189 B) 1.499 C) 1.809 D) 2.000
-Refer to Exhibit 10.1. What is the cut-off value (cell E26) for this data using the mid-point cut-off method?

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