Predicting Boston House prices using Linear Regression

It is a predictive modeling technique that finds a relationship between independent variable(s) and dependent variable(s) (which is a continuous variable). US, UK, 0/1) or continuous(1729, 3.141 etc), while dependent variable(dv)s are continuous. Underlying function mapping iv's and dv's can be linear, quadratic, polynomial or other non-linear functions(like sigmoid function in logistic regression), but this article is on linear technique. Regression techniques are heavily used in making real estate price prediction, financial forecasting, predicting traffic arrival time (ETA). Continuous: Can take infinite values, e.g.