Question

In: Statistics and Probability

What is the main purpose of logistic regression? Do you know other regression that can provide...

What is the main purpose of logistic regression? Do you know other regression that can provide similar estimates?

Solutions

Expert Solution

Logistic regression is used when the dependent variable is categorical ( mainly dichotomus or binary) where as independednt variables can be of any type nominal, ordinal , numerical etc. This regression model is also used as a classifier.

Cox regression can also be used in place of logistic regression.

orchestra answered 1 year ago
Next > < Previous

Related Solutions

When should logistic regression be used for data analysis? What is the assumption of logistic regression?...
When should logistic regression be used for data analysis? What is the assumption of logistic regression? How to explain odds ratio?
Stochastic Gradient Ascent (SGA) for Logistic Regression. In the exer- cise, you will implement logistic regression...
Stochastic Gradient Ascent (SGA) for Logistic Regression. In the exer- cise, you will implement logistic regression algorithm using SGA, similar to the logistic regression algorithm that you have seen in class. You will work with the datasets attached to the assignment and complete the lo- gisticRegression.py file to learn the coefficients and predict binary class labels. The data comes from breast cancer diagnosis where each sample (30 features) is labeled by a diagnose: either M (malignant) or B (be- nign)...
Stochastic Gradient Ascent (SGA) for Logistic Regression. In the exer- cise, you will implement logistic regression...
Stochastic Gradient Ascent (SGA) for Logistic Regression. In the exer- cise, you will implement logistic regression algorithm using SGA, similar to the logistic regression algorithm that you have seen in class. You will work with the datasets attached to the assignment and complete the lo- gisticRegression.py file to learn the coefficients and predict binary class labels. The data comes from breast cancer diagnosis where each sample (30 features) is labeled by a diagnose: either M (malignant) or B (be- nign)...
What assumptions must be satisfied before a binary logistic regression can be performed?
What assumptions must be satisfied before a binary logistic regression can be performed?
What is the purpose of the review of literature? How can you know that you have...
What is the purpose of the review of literature? How can you know that you have enough?
What is the main purpose of the Federal Reserve and what are some other actions that...
What is the main purpose of the Federal Reserve and what are some other actions that the Fed may take during recessionary times?
What is binary logistic regression, and how to use it?
What is binary logistic regression, and how to use it?
What is binary logistic regression, and how to use it?
What is binary logistic regression, and how to use it?
In the exer- cise, you will implement logistic regression algorithm using SGA, similar to the logistic...
In the exer- cise, you will implement logistic regression algorithm using SGA, similar to the logistic regression algorithm that you have seen in class. You will work with the datasets attached to the assignment and complete the lo- gisticRegression.py file to learn the coefficients and predict binary class labels. The data comes from breast cancer diagnosis where each sample (30 features) is labeled by a diagnose: either M (malignant) or B (be- nign) (recorded in the 31-st column in the...
give the difference between anova, manova,mancova,pathanalysis,t-test,multiple regression and logistic regression answrr only if you know otherwise...
give the difference between anova, manova,mancova,pathanalysis,t-test,multiple regression and logistic regression answrr only if you know otherwise dislike
ADVERTISEMENT
Subjects
ADVERTISEMENT
Latest Questions
ADVERTISEMENT