Twenty samples of students from the first year were taken for the study related to student emotional intelligence (EQ) in a university. The researcher has collected the data for a few variables: gender, academic performance, and emotional intelligence (EQ) test score. EQ Training and Coaching(T & C) Programme EQ Score No Gender CGPA (Before Attend T & C) EQ Score (After Attend T & C) 1 Male 2.10 444 526 2 Female 4.00 780 862 3 Male 2.30 475 557 4 Male 2.40 490 572 Female 3.80 755 837 6. Female 3.90 766 848 7 Male 2.70 540 622 8 Male 3.10 623 705 Male 2.90 600 682 10 Male 3.00 620 702 11 Male 2.50 505 590 12 Female 3.20 640 725 13 Male 2.60 523 608 14 Female 3.40 700 785 15 Female 3.50 710 795 16 Female 3.60 726 811 17 Female 3.70 740 825 18 Male 2.80 550 635 19 Female 3.30 685 770 20 Male 2.20 460 545 Table 1 Remarks: (1) Range of CGPA: 0 to 4 (2) Range of EQ Score: 0 to 900 To analysis the relationship between students' academic performance and emotional intelligence (EQ) in the university: 1. Construct a scatter plot between academic performance (CGPA) and emotional intelligence (EQ) scores for students who completed the EQ training and coaching programme. Describe the relationship between two variables. 2. Compute the coefficient of correlation for these data. Describe the relationship between two variables. 3. Perform a simple linear regression analysis and form the linear equation.

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Twenty samples of students from the first year were taken for the study related to student
emotional intelligence (EQ) in a university. The researcher has collected the data for a few
variables: gender, academic performance, and emotional intelligence (EQ) test score.
EQ Training and
Coaching(T & C)
Programme
EQ Score
No
Gender
CGPA
(Before Attend T &
C)
EQ Score
(After Attend T &
C)
1
Male
2.10
444
526
2
Female
4.00
780
862
3
Male
2.30
475
557
4
Male
2.40
490
572
5
Female
3.80
755
837
6
Female
3.90
766
848
7
Male
2.70
540
622
Male
3.10
623
705
9
Male
2.90
600
682
10
Male
3.00
620
702
11
Male
2.50
505
590
12
Female
3.20
640
725
13
Male
2.60
523
608
14
Female
3.40
700
785
15
Female
3.50
710
795
16
Female
3.60
726
811
17
Female
3.70
740
825
18
Male
2.80
550
635
19
Female
3.30
685
770
20
Male
2.20
460
545
Table 1
Remarks: (1) Range of CGPA: 0 to 4 (2) Range of EQ Score: 0 to 900
To analysis the relationship between students' academic performance and emotional
intelligence (EQ) in the university:
1. Construct a scatter plot between academic performance (CGPA) and emotional
intelligence (EQ) scores for students who completed the EQ training and coaching
programme. Describe the relationship between two variables.
2. Compute the coefficient of correlation for these data. Describe the relationship between
two variables.
3. Perform a simple linear regression analysis and form the linear equation.
Transcribed Image Text:Twenty samples of students from the first year were taken for the study related to student emotional intelligence (EQ) in a university. The researcher has collected the data for a few variables: gender, academic performance, and emotional intelligence (EQ) test score. EQ Training and Coaching(T & C) Programme EQ Score No Gender CGPA (Before Attend T & C) EQ Score (After Attend T & C) 1 Male 2.10 444 526 2 Female 4.00 780 862 3 Male 2.30 475 557 4 Male 2.40 490 572 5 Female 3.80 755 837 6 Female 3.90 766 848 7 Male 2.70 540 622 Male 3.10 623 705 9 Male 2.90 600 682 10 Male 3.00 620 702 11 Male 2.50 505 590 12 Female 3.20 640 725 13 Male 2.60 523 608 14 Female 3.40 700 785 15 Female 3.50 710 795 16 Female 3.60 726 811 17 Female 3.70 740 825 18 Male 2.80 550 635 19 Female 3.30 685 770 20 Male 2.20 460 545 Table 1 Remarks: (1) Range of CGPA: 0 to 4 (2) Range of EQ Score: 0 to 900 To analysis the relationship between students' academic performance and emotional intelligence (EQ) in the university: 1. Construct a scatter plot between academic performance (CGPA) and emotional intelligence (EQ) scores for students who completed the EQ training and coaching programme. Describe the relationship between two variables. 2. Compute the coefficient of correlation for these data. Describe the relationship between two variables. 3. Perform a simple linear regression analysis and form the linear equation.
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