Question

Explain logistic regression for classifying data, and discuss how it is different from linear regression. Provide...

Explain logistic regression for classifying data, and discuss how it is different from linear regression. Provide an example to illustrate the difference that is taken from your own workplace (past or present)?

Business   Operations-Management   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

Logistic regression is used when the dependent variable is categorical i.e. is a discrete value which is not necessarily numerical. The independent variables in logistic regression do not correlate to each other.

Linear regression is used when the dependent variable is continuous and can take any numerical value. The independent variables can have correlation in multilinear regression.

Considering example of logistic regression usage in my firm which is a consulting firm, project completion in time as the dependent variable which can have values 0 and 1 where 0 is the project is not completed within the time and 1 is that project is completed within time. It depends on variables like - Number of resource allocated, Resource skill levels, scheduled time of deliverables, efficiency of resources etc.

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Simple linear regression (SLR) is often used in Data Science. Describe and explain what are the...
Simple linear regression (SLR) is often used in Data Science. Describe and explain what are the roles of simple linear regression in Data Science. Illustrate with a real-world application for each of the role described. Briefly explain how they perform the roles. Tips  Guideline: about 1000 words  First, give a brief description of Simple Linear Regression (SLR)  Then explain the roles of SLR in Data Science  Find real-world examples illustrating the roles of SLR that you...
Explain the basic difference between a vector and a data frame in R. Discuss the appropriate...
Explain the basic difference between a vector and a data frame in R. Discuss the appropriate use for each and provide an example to illustrate proper use.
1. Consider an actual proof problem 2. The problem should estimate one multiple linear regression, or...
1. Consider an actual proof problem 2. The problem should estimate one multiple linear regression, or a logistic regression. Explain the estimation. 3. Consider a different model from step 2. You can try adding other random variables to explain your model, or consider different ways to explain (For example: probit model, lasso, trees, random forest, gradient boosting, or neural net). Then, compare the estimation results of the original model and the new model. ps. If you answer the question with...
Discuss how a single value is different from an annuity. How might present value and future...
Discuss how a single value is different from an annuity. How might present value and future value calculations differ for single values and annuities? Please answer in your own words. Do not use the outside resources.
Regression analysis involves lurking variables, outliers, scatterplots, linear correlation coefficient, and regression equation. Answer the following...
Regression analysis involves lurking variables, outliers, scatterplots, linear correlation coefficient, and regression equation. Answer the following 2 questions for your main post: How have you used data to showcase an example or solve a problem? Did you get the outcome you expected? Explain.
Provide three examples (not from the reading--original): 1.) something you consider inherently to be technology; 2.)...
Provide three examples (not from the reading--original): 1.) something you consider inherently to be technology; 2.) something you consider inherently NOT to be technology; 3.) something that might be considered technology in certain circumstances but is not always technology. Provide any explanation/clarification as needed--what contributes to making something technology or not? Provide your own example of a particular technology that is "interpreted" differently by different people, to illustrate this reading's point about meaning. Explain/discuss the varying meanings of this given...
How different assumptions of error influence regression analysis? Explain the difference between least square method and...
How different assumptions of error influence regression analysis? Explain the difference between least square method and sum of absolute errors method in regression analysis.
Explain the different steps of a team building process. Use specific example from your workplace for...
Explain the different steps of a team building process. Use specific example from your workplace for each steps
In your own words, describe the difference between Between-Treatments (Groups) and Within-Treatments (Groups) variation. Explain how...
In your own words, describe the difference between Between-Treatments (Groups) and Within-Treatments (Groups) variation. Explain how you would evaluate the variation and other methods to ensure that the data are appropriate to use for the test. Illustrate your ideas using a specific example.
7. Explain the difference between the fallacy of composition and the post hoc fallacy. Then, provide...
7. Explain the difference between the fallacy of composition and the post hoc fallacy. Then, provide a real world example of each fallacy from your own personal or professional experience. (10)
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT