So., for Logistic Regression, the LHS ≠ RHS.

Hi., Lets take two case,

Case_1: p = 0.9 then odd_1 = 0.9/0.1 =9

Case_2: p = 0.5 then odd_2 = 0.5/0.5 = 1

now odd ratio = 9/1 = 1 which violates the range [0,1].

Am I missing something ?

Covariance is the concept of variance to multiple random variables. Instead of measuring the fluctuation of a single random variable, the covariance measures the fluctuation of two variables with each other.

- Var[X+Y] = Var[X] + Var[Y] + 2.XY.Cov(X,Y) ?

The expectation of random variable ‘X’ i.e. E[X] is the central tendency of X when picked once randomly.

- E[X+c] = ?

Let’s assume **L** is a population set. Variance of **L **tells, how much datapoints of **L** are far from **L**’s mean(u).

Also,

Disclaimer : All characters and scenarios are imaginary. It has no relation with practical data.

Let’s create a scenario to understand the concepts better. One day I found my friend ‘L’ boasting about himself that he can run for 1.5 hours straight without a break ( but he always feels sick to walk a distance of 10 minutes for school ). Although he was well known athlete in our area but I decided to give it a check. What I found after after a little probing is :

Fig 1, shows minimum and maximum stamina an athlete can have. Point…

NLP Enthusiast