Skip to content

This repository contains the code for Motor Trend Project. Parsimony, simplicity and predictive power of regression has always fascinated me. I wanted to see what important insight we can draw from mtcars dataset in R. Following were my objectives: To find which one of Automatic or Manual Transmission is better for mpg. To Quantify the mpg diffe…

Notifications You must be signed in to change notification settings

nutansahoo/Motor_Trend_Project-RegressionModels

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
 
 
 
 
 
 

Repository files navigation

The purpose of this project is to explore the impact of a set of variables like horsepower, transmission configuration, engine cylinder configuration, etc. on mpg(Miles per Gallon). In particular we have two objectives:---

  1. To find which one of Automatic or Manual Transmission is better for mpg.
  2. To Quantify the mpg difference b/w auto and manual transmissions.
  3. To come up with a model to predict the mileage of a given car.
  4. To find how a hundred pound increase in car's weight will change the fuel efficiency.

The folder named Code contains all the code. The file named Code_MarkdownFormat contains an older version in which only first two objectives were taken up. In the second file named new_reg_mod.Rmd contains code for all four objectives. This Rmd was converted to HTML and published on Rpubs. Here's the link for it: http://rpubs.com/Nutan_Sahoo/Regression_Modelling It is easier to read and contains all graphis which were made using ggplot, base graphics and gplots.

About

This repository contains the code for Motor Trend Project. Parsimony, simplicity and predictive power of regression has always fascinated me. I wanted to see what important insight we can draw from mtcars dataset in R. Following were my objectives: To find which one of Automatic or Manual Transmission is better for mpg. To Quantify the mpg diffe…

http://rpubs.com/Nutan_Sahoo/Regression_Modelling

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published