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BACKGROUND

BACKGROUND & OBJECTIVES

PREDICTING

FUEL ECONOMY 

Predicting the fuel economy of the vehicles is an important component of automobile behaviour analytics.

For each vehicle, various characteristics are recorded such as the engine displacement,number of cylinders,number of gears etc. Along with these values, laboratory measurements are made for the city and highway fuel economy (FE) of the car.

For large companies it becomes very difficult to analyse every cases, one by one, to understand the cause out of that.

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But what if we can predict which the fuel economy? 

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Statistical Analysis has given us the power to predict the fuel economy of an vehicle by virtue of fitting a well selected and accurate model.

 

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Fuel Economy Analysis has a huge impact on Revenue of a company.

If the company predicts the correct and fruitful number of predictors along with correct fuel economy with high accuracy, it gives the company a estimate of how its revenues would look like and in turn give it freedom to plan finances ahead as well as give more information about what are the main concerns to look after.

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This can be an enormously useful information for the company perspective.

THE OBJECTIVE

To predict the Fuel Economy of vehicles by choosing a single input variable which is best suitable.

Build a Regression Model on Fuel Economy data.

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