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Serial no Student ID Gender University age semester Credit completed Expected CGPA satisfy with current cgpa GPA (HSC) Satisfy with online teaching (yes/no) Daily study

Serial no Student ID Gender University age semester Credit completed Expected CGPA

satisfy with current

cgpa

GPA (HSC) Satisfy with online teaching (yes/no) Daily study at home(hour)
1 18136025 female Brac university 23 11 118 3.9 Yes 5 Yes 5
2 18136005 female Brac university 24 11 112 3.6 Yes 5 Yes 9
3 18136080 male Brac university 24 11 120 3.5 No 5 Yes 7
4 18136079 male Brac university 23 12 129 3.6 Yes 5 Yes 6
5 18336017 female Brac university 24 12 125 3.5 Yes 4.6 No 4
6 18126079 female Brac university 22 11 118 3.8 Yes 5 Yes 5
7 18126012 female Brac university 22 12 129 3.8 Yes 5 Yes 9
8 18326031 male Brac university 24 12 129 3.6 No 5 No 9
9 18226003 female Brac university 23 11 118 3.9 Yes 5 Yes 9
10

B180302056

female Jagannath university 23 11 108 3.5 No 4.5 No 7
11 18388473 male AIUB 22 12 129 3.4 No 4 No 5
12 18226009 female Brac university 22 11 118 3.5 No 5 No 6
13 17673857 male AIUB 24 11 112 3.7 Yes 5 Yes 8
14 1731447 male IUB 25 11 120 3.6 Yes 5 Yes 7.5
15 B172402059 male

Jagannath

University

24 12 129 3.9 Yes 5 Yes 9
16

B170302059

Male

Jagannath

University

23 12 125 3.6 No 5 Yes 7
17 1822321 male IUB 23 11 118 3.5 No 5 Yes 7
18 18344678 male AIUB 23 12 129 3.6 No 5 Yes 9
19 1889765 male IUB 22 12 129 3.5 No 5 No 5
20 18530447 male AIUB 22 11 118 3.8 Yes 5 Yes 11
21 18273065 mae AIUB 23 11 108 3.8 Yes 5 Yes 8
22 17434876 male Brac university 25 12 129 3.6 Yes 5 Yes 6
23 18466124 female Brac University 24 11 118 3.9 Yes 5 No 14
24 18234550 male AIUB 24 11 112 3.5 No 5 Yes 4
25 17883335 female AIUB 24 12 120 3.4 Yes 4.5 Yes 7
26 16313115 male AIUB 25 13 129 3.5 Yes 5 Yes 6
27 17617644 female AIUB 25 12 125 3.7 Yes 5 No 6
28 1735748 male IUB 24 12 118 3.6 No 5 Yes 7
29 1651521 male IUB 25 13 129 3.8 Yes 5 No 5
30 1725242 male IUB 24 12 129 3.7 Yes 5 Yes 8

1. Summarize the data and make valid conclusions. (Frequency table, graphs, mean, sd, and others)

2. Establish the relationship between theExpectedGCPA and other suitable variables [more than one]

3. Fit the regression models ofExpectedCGPA on other suitable variables separately. [more than one]

4. Make a final conclusion for all the analyses

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