In the previous section, we discussed a simple real-life problem (that is, Age versus Savings). However, in practice, there are several real-life problems where more factors and parameters (that is, data properties) are involved, where regression can be applied too. Let's first introduce a real-life problem. Imagine that you live in Sao Paulo, a city in Brazil, where every day several hours of your valuable time are wasted because of unavoidable reasons such as an immobilized bus, broken truck, vehicle excess, accident victim, overtaking, fire vehicles, incident involving dangerous freight, lack of electricity, fire, and flooding.
Now, to measure how many man hours get wasted, we can we develop an automated technique, which will predict the slowness of traffic such that you can avoid certain routes or at least get some rough estimation...
