Week_3_Analysis

.docx

School

Southern New Hampshire University *

*We aren’t endorsed by this school

Course

510

Subject

Statistics

Date

Jan 9, 2024

Type

docx

Pages

7

Uploaded by hugvjngvhjnkmn

Report
Logistics Regression Analysis: Week 3 Logistics Regression Analysis: Week 3 American Military University Steward Huang, Ph.D. Kwame’ Vaughn ≠
Logistics Regression Analysis: Week 3 Abstract This week’s case study allows an analyst to read in a comma separated value (CSV) file into R, to analyze customer levels of satisfaction based upon various variables.
Logistics Regression Analysis: Week 3 Introduction Insight Into What Will Be Discussed A very impressive skill that an analyst can possess is the ability to conduct predictive analysis. For this week’s case study, we will conduct a logistics regression analysis to identify what variables lead to more satisfied customers for an airline. With detailed and thoughtful analysis, this report will utilize predictive analytics insights to provide an understanding to the variables that will reach peak customer satisfaction. Analysis Setup Working Directory and CSV Read-In To begin the analysis, Visual Studio Code will be downloaded, installed, and opened on the machine. Once the application has been opened, R’s getwd() function will be used to identify the current working directory. After the working directory has been identified, the given dataset (“Satisfaction21.csv”) will be saved in the same analysis folder as our R file. Next, the dataset will be read into the R file by using R’s read.csv() function. Establish Variable Classes After the dataset has been successfully read into R, the analyst will create all variable classes for the analysis. The code used to create classes are captured in the images below:
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
  • Access to all documents
  • Unlimited textbook solutions
  • 24/7 expert homework help
Recommended textbooks for you
Text book image
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Text book image
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Text book image
Functions and Change: A Modeling Approach to Coll...
Algebra
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Cengage Learning
Text book image
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
SEE MORE TEXTBOOKS
Recommended textbooks for you
Text book image
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Text book image
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Text book image
Functions and Change: A Modeling Approach to Coll...
Algebra
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Cengage Learning
Text book image
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
SEE MORE TEXTBOOKS