Auto MPG Dataset Analysis

- Akshat Jain

Shruti Gupta

Vishal Singhi

Akshat jain

Shruti Gupta

Vishal Singhi

OUR TEAM

Table of contents

02

Introduction to Dataset

Getting Ready with R studio

Loading Dataset in R studio

Different parameters

01

04

03

Introduction

The example that we have taken here is the "auto mpg" data set that is widely used in demonstrating regression and machine learning techniques.

The Excel file contains an analysis of this data set with extensive commentary as well as an illustration of output options.

The file contains complete data for 392 cars that were sold in the U.S. between 1970 and 1982.

Now the question is arises that why we choose this analysis ?

The main objective of our analysis is to predict a car's fuel consumption from its physical attributes and its country of origin.

Loading data set in R studio

01

Getting Ready with R studio

Getting Ready with R studio

Summary of this data set

Histogram plot for weight

Histogram plot for horsepower

Variance

Skewness

Kurtosis

Variance

Skewness

Kurtosis

Correlation & plots

01

Multiple Regression

02

Conclusion

• By analyzing the data ,we come across the factors affecting Gallonsper100miles are :
• horsepower100 (0.85)
• weight1000lbs(0.88)

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• By analyzing the data ,we come across the factors affecting MPG are :
• horsepower100 (-0.77)
• weight1000lbs(-0.83)

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References

• file:///C:/Users/User/OneDrive/Desktop/Auto_1.html

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• https://regressit.com/data.html

Thanks!

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