Suppose we want to predict the risk of developing a disease to a person or we want to predict whether a student will pass or fail in an exam by using data like how many hours he/she spends on daily study. Here comes the need of Logistic Regression. Then let’s... [Read More]

Many times the data we have, cannot be fitted linearly and we need a higher degree polynomial ( like quadratic or cubic ) to fit the data. We can use a polynomial model when the relationship between outcome and explanatory variables is curvilinear as can be seen in the given... [Read More]

Suppose you want to predict the price of a house by just knowing about the size of the house. Although we know that there are other factors such as number of rooms, locality, etc which also affect the price but let’s consider the simple case only. So now to know... [Read More]