+1 vote

For a layman What is logistic regression?

Sep 7, 2018 1,611 views

## 3 answers to this question.

0 votes
Logistic regression is the statistical technique to make a binary predictive model to generate predict a target variable which could be either 0 or 1.

Logistic regression is the the tweaked version of linear regression wherein at the output of linear regression a sigmoid function is applied.
answered Sep 7, 2018 by
• 3,720 points
0 votes

Logistic regression is the appropriate regression analysis to conduct when the dependent variable is dichotomous (binary).  Like all regression analyses, the logistic regression is a predictive analysis.  Logistic regression is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables.

Sometimes logistic regressions are difficult to interpret; the Intellectus Statistics tool easily allows you to conduct the analysis, then in plain English interprets the output.

answered Sep 11, 2018 by
• 3,790 points
0 votes
Logistic regression is analysis to conduct when the dependent variable is dichotomous (binary).  Like all regression analyses, the logistic regression is a predictive analysis.  Logistic regression is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables.
answered Aug 7, 2019 by anonymous

0 votes
2 answers

## When scoring a logistic regression model , is having the predicted variable in test dataset mandatory ?

Answer to your follow up question: We can ...READ MORE

0 votes
1 answer

## What is the difference between [] and [[]] notations to access the elements of a list or dataframe in R?

R provides 3 basic indexing operators. Refer ...READ MORE

0 votes
1 answer

## What is the standard naming convention for the variables in R?

Use of period separator e.g. product.prices <- c(12.01, ...READ MORE

0 votes
1 answer

## What is the Difference in Size and Count in pandas (python)?

The major difference is "size" includes NaN values, ...READ MORE

0 votes
2 answers

## What is difference between Distributed search head and Search head cluster?

A distributed environment describes the separation of ...READ MORE

0 votes
2 answers

## "Train" and "Test" sets in Data Science

Normally to perform supervised learning you need ...READ MORE

0 votes
2 answers

## Installing MXNet for R in Windows System

You can install it for python in ...READ MORE

+2 votes
3 answers

## Problem with installation of Wordcloud in anaconda

Using Anaconda Python 3.6 version For Windows ...READ MORE

0 votes
3 answers

## What is Linear Regression?

linear regression is useful for finding relationship ...READ MORE

+1 vote
2 answers

## What is the difference between correlation and covariance?

Correlation and Co-variance both are used as ...READ MORE