I have a dataset of survey. how do I use logistic regression method to identify which variables are significant to the result("Satisified"). Please assist. Thanks! Trip Type Boarding experience Delayed arrival Booking
I have a dataset of survey. how do I use logistic regression method to identify which variables are significant to the result("Satisified"). Please assist. Thanks! Trip Type Boarding experience Delayed arrival Booking
Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter2: Matrices
Section2.5: Markov Chain
Problem 36E: Customer Preference Two movie theatres that show several different movies each night compete for the...
Related questions
Question
I have a dataset of survey. how do I use logistic regression method to identify which variables are significant to the result("Satisified").
Please assist.
Thanks!
| Trip Type | Boarding experience | Delayed arrival | Booking experience | Gender | Seat Type | Delayed departure | Cleanliness | Trip Distance | Membership | Wifi | Staff friendliness | Age | Quality Food | Seat comfort | Checkin service | Luggage service | Online experience | Departure Convenience | Seat type | Satisfied |
| personal | 3 | 30 | 5 | Female | economy | 40 | 5 | 2366 | points membership | 4 | 5 | 29 | 1 | 5 | 5 | 5 | 4 | 1 | 1 | 1 |
| business | 3 | 1 | 5 | Male | premium | 0 | 5 | 3562 | points membership | 4 | 5 | 48 | 5 | 5 | 4 | 5 | 5 | 1 | 5 | 1 |
| business | 5 | 0 | 5 | Male | economy | 0 | 1 | 3042 | points membership | 5 | 3 | 47 | 1 | 1 | 1 | 2 | 5 | 1 | 5 | 1 |
| business | 5 | 22 | 4 | Male | premium | 24 | 4 | 754 | points membership | 3 | 4 | 53 | 3 | 5 | 3 | 4 | 5 | 3 | 3 | 1 |
| business | 5 | 36 | 5 | Female | premium | 31 | 5 | 77 | points membership | 5 | 5 | 40 | 3 | 5 | 5 | 4 | 4 | 3 | 3 | 1 |
| business | 3 | 0 | 3 | Female | economy | 0 | 3 | 435 | points membership | 1 | 3 | 62 | 2 | 3 | 4 | 3 | 3 | 2 | 3 | 0 |
| business | 5 | 9 | 4 | Male | premium | 16 | 4 | 1670 | points membership | 2 | 4 | 59 | 5 | 4 | 5 | 4 | 4 | 5 | 5 | 1 |
| business | 5 | 0 | 5 | Male | premium | 2 | 4 | 2835 | points membership | 5 | 3 | 30 | 2 | 2 | 5 | 4 | 5 | 3 | 2 | 1 |
| business | 1 | 0 | 4 | Female | standard | 0 | 4 | 533 | points membership | 4 | 4 | 77 | 2 | 4 | 3 | 4 | 3 | 2 | 4 | 0 |
| personal | 2 | 0 | 2 | Male | standard | 0 | 4 | 1719 | points membership | 2 | 4 | 34 | 3 | 2 | 4 | 4 | 1 | 5 | 3 | 0 |
| personal | 5 | 0 | 3 | Female | premium | 0 | 3 | 1388 | points membership | 3 | 3 | 23 | 5 | 4 | 5 | 5 | 4 | 5 | 5 | 1 |
| personal | 3 | 0 | 3 | Male | economy | 0 | 4 | 2031 | points membership | 3 | 1 | 22 | 3 | 3 | 1 | 3 | 3 | 3 | 3 | 0 |
| business | 5 | 0 | 5 | Female | premium | 0 | 4 | 3911 | points membership | 5 | 3 | 25 | 5 | 5 | 4 | 5 | 5 | 5 | 5 | 1 |
| personal | 4 | 0 | 4 | Female | economy | 0 | 5 | 1146 | points membership | 4 | 4 | 20 | 3 | 5 | 5 | 4 | 4 | 5 | 3 | 0 |
| personal | 5 | 0 | 4 | Female | premium | 0 | 4 | 2600 | points membership | 3 | 4 | 65 | 2 | 4 | 3 | 5 | 5 | 1 | 1 | 1 |
| personal | 3 | 25 | 3 | Male | economy | 1 | 4 | 1887 | points membership | 3 | 5 | 59 | 0 | 2 | 5 | 5 | 3 | 5 | 1 | 0 |
| business | 5 | 0 | 4 | Female | premium | 0 | 4 | 1780 | points membership | 2 | 4 | 57 | 5 | 4 | 5 | 4 | 4 | 5 | 5 | 1 |
| business | 2 | 13 | 2 | Female | economy | 0 | 5 | 2106 | non-member | 2 | 4 | 20 | 5 | 3 | 5 | 4 | 2 | 5 | 5 | 1 |
| business | 3 | 13 | 2 | Female | premium | 0 | 2 | 894 | points membership | 4 | 2 | 46 | 2 | 2 | 4 | 2 | 4 | 2 | 2 | 0 |
Transcribed Image Text:Trip Type
▾
personal
business
business
business
business
business
business
business
business
personal
personal
personal
business
personal
personal
personal
business
business
Boarding Delayed Booking
experience arrival experience
▼
3
3
5
5
5
3
5
5
1
2
5
3
5
4
5
3
5
2
▼
30
1
0
22
36
0
9
0
0
0
0
0
0
0
0
25
0
13
Gender
5 Female
5 Male
5 Male
4 Male
5 Female
3 Female
4 Male
5 Male
4 Female
2 Male
3 Female
3 Male
5 Female
4 Female
4 Female
3 Male
4 Female
2 Female
Seat Delayed
Type departure
→
economy
premium
economy
premium
premium
economy
premium
premium
standard
standard
premium
economy
premium
economy
premium
economy
premium
economy
40
0
0
24
31
0
16
2
0
0
0
0
0
0
0
1
0
0
Cleanliness
▼
5
5
1
4
5
3
4
4
4
4
3
4
4
5
4
4
4
5
Trip
Distance
Membership
Y
2366 points membership
3562 points membership
3042 points membership
754 points membership
77 points membership
435 points membership
1670 points membership
2835 points membership
533 points membership
1719 points membership
1388 points membership
2031 points membership
3911 points membership
1146 points membership
2600 points membership
1887 points membership
1780 points membership
2106 non-member
Wifi
▼
4
4
5
3
5
1
2
5
4
2
3
3
5
4
3
3
2
2
Staff
friendliness
Y
5
5
3
4
5
3
4
3
4
4
3
1
3
4
4
5
4
4
Age
▾
29
48
47
53
40
62
59
30
77
34
23
22
25
20
65
59
57
20
Quality
Food
▼
1
5
1
3
3
2
5
2
2
3
5
3
5
3
2
0
5
5
Seat Checkin Luggage Online
Departure
comfort service service
service experience Convenience
Y
5
5
1
5
5
3
4
2
4
2
4
3
5
5
4
2
4
3
Y
5
4
1
3
5
4
5
5
3
4
5
1
4
5
3
5
5
5
Y
5
5
2
4
4
3
4
4₁
4
4
5
3
5
4
5
5
4
4
▾
4
5
5
5
4
3
4
5
3
1
4
3
5
4
5
3
4
2
▼
1
1
1
3
3
2
5
3
2
5
5
3
5
5
1
5
5
5
Seat type Satisfied
1
5
5
3
3
3
5
2
4
3
5
3
5
3
1
1
5
5
▼
1
1
1
1
1
0
1
1
0
0
1
0
1
0
1
0
1
1
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 3 steps
Recommended textbooks for you
Elementary Linear Algebra (MindTap Course List)
Algebra
ISBN:
9781305658004
Author:
Ron Larson
Publisher:
Cengage Learning
Elementary Linear Algebra (MindTap Course List)
Algebra
ISBN:
9781305658004
Author:
Ron Larson
Publisher:
Cengage Learning