Regression Models

Overview

This report was prepared by Yohance Nicholas in partial fulfilment of the Regression Models Coursewhich comprises one of the five courses necessary for the Data Science: Statistics and Machine Specialization offered by Johns Hopikins University through Coursera. In this report, candidates wear the hat of a *Motor Trend Researcher* who seeks to explore the relationship between vehicle characteristics and fuel efficiency with the assistance of the `mtcars` data set. This data, which was extracted from the 1974 *Motor Trend* US magazine, comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973–74 models). Exploratory data analyses and regression models are utilised to mainly explore the extent to which **automatic** (am = 0) and **manual** (am = 1) transmissions features impact fuel efficiency, as measured by the the Miles/(US) gallon variable - **MPG** . The research begins with data preparation and exploratory data analysis. Subsequently, several candidate linear regression models are estimated in order to identify the model with the best fit - i.e. the highest Adjusted R-squared value. Open-source project by Yohance Nicholas, published on GitHub.

Highlights

• Open source — view the code and contribute on GitHub

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