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[…]

What is Central Limit theorem?

In probability theory, the central limit theorem states that if the population is normally distributed then samples will also be normally distributed for any sample size. But if population is not normal then sample will be normally distributed if sample (of size n) are drawn randomly from a population that has a mean of µ[…]

What is p-value in statistics?

It is a way of quantifying the strength of the evidence against the null hypothesis and in favors of the alternative. P-value quantifies how strongly the data favor HA over H0. It can be said to be a conditional probability. If H0 is true, then the probability of observing large sample mean will be low.[…]

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[…]