Problem:
A car manufacturer known for making large automobiles is struggling with sales and has asked for your help in designing an energy efficient car. Using data gathered, determine which attributes may contribute to higher gas mileage so that they can design a more fuel efficient automobile.
Part 1:
Use proper data cleansing techniques to ensure that you have the highest quality data to model this problem. Detail your process and discuss the decisions you made to clean the data.
Part 2:
Build a linear regression model to accurately predict miles per gallon (MPG) based on the attributes of a vehicle. Discuss the significant attributes and how they can help you build the proper car.
Part 3:
Optimize the model using selection techniques, explain whether the model can achieve the specified goals, and describe which attributes contribute to higher MPG over others.
Paper needs to be five pages in APA format. Attach images in the appendix. Code should be provided in an additional document.
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