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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

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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!

 

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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
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
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