Linear Regression

What is Linear Regression? It is a predictive analysis technique. With this technique we can predict a variable called as response variable (or dependent variable) using one or more explanatory variables (or independent or predictor variables). When there is only one predictor variable, then method is called as simple regression otherwise multiple regression. Linear regression consists[…]

Properties of a Normal Distribution Model

Also known as “Gaussian distribution” or “bell curve”. Symmetric: If curve is divided into 2 equal parts then one half will be similar to other half. Unimodel: It will have only 1 mode. Mean=Median=Mode (All 3 will be equal). It is said that nor distribution “Curve will never touch x-axis”. Total Area under the curve[…]