MIS690 Grand Canyon Logistic Regression Model and Life Cycle Paper

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Question Description

Write a 500-750 word paper describing the model deployment and model life cycle aspects of your model. It will include the following:

  1. What are model deployment costs? Be specific.
  2. What is a proposed task and timeline for deploying your model?
  3. What specific training will be required for those who will be using the model on a regular basis?
  4. Can this model be used on a repetitive basis? Explain.
  5. How will model quality be tracked over time?
  6. How will the model be recalibrated and maintained over time?
  7. What specific benefits to the organization will be realized over time as a result of using the model?

Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.

Tutor Answer

RyanTopTutor
School: University of Maryland

Attached.

RUNNING HEAD: LOGISTIC REGRESSION MODEL

Logistic regression model
Name:
Professor:
Institution:
Due date:

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RUNNING HEAD: LOGISTIC REGRESSION MODEL

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Logistic Regression
Logistic regression is considered the best analysis model when it comes to data which has
a dependent variable which is binary or dichotomous. Like other regression analysis models,
logistic regression is functions as a predictive model of analysis. Logistic regression is a way in
which one can describe data and provide some explanation on the relationship between an
independent dichotomous variable and an ordinal, nominal variable.
Logistic regression was first used in biological field in the twentieth century. It has then
advanced to be used in the social sciences. Logistic regression is mainly preferred where the
depende...

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