The director of graduate admissions at a local university is analyzing the relationship between scores on the Graduate Record Examination (GRE) and subsequent performance in graduate school, as measured by a student's grade point average (GPA). She uses a sample of 10 students who graduated within the past five years. GRE 1500 1400 1000 1050 1050 1100 1250 800 850 950 1350 GPA 3.4 3.5 Covariance 3.0 2.9 3.0 3.3 2.7 2.8 3.2 3.3 a-1. Calculate the covariance. (Round your answer to 2 decimal places.)

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The director of graduate admissions at a local university is analyzing the relationship between scores on the Graduate Record
Examination (GRE) and subsequent performance in graduate school, as measured by a student's grade point average (GPA). She uses
a sample of 10 students who graduated within the past five years.
GRE
1500
1400
1000
1050
1100
1250
800
850
950
1350
GPA
3.4
Covariance
3.5
3.0
2.9
3.0
3.3
2.7
2.8
3.2
3.3
a-1. Calculate the covariance. (Round your answer to 2 decimal places.)
Transcribed Image Text:The director of graduate admissions at a local university is analyzing the relationship between scores on the Graduate Record Examination (GRE) and subsequent performance in graduate school, as measured by a student's grade point average (GPA). She uses a sample of 10 students who graduated within the past five years. GRE 1500 1400 1000 1050 1100 1250 800 850 950 1350 GPA 3.4 Covariance 3.5 3.0 2.9 3.0 3.3 2.7 2.8 3.2 3.3 a-1. Calculate the covariance. (Round your answer to 2 decimal places.)
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