This repository contains notebook introducing reader to basic concepts of multilinear regression and its application.
- Consider only the below columns and prepare a prediction model for predicting Price.
Corolla<-Corolla[c("Price","Age_08_04","KM","HP","cc","Doors","Gears","Quarterly_Tax","Weight")]
Model -- model of the car
Price -- Offer Price in EUROs
Age_08_04 -- Age in months as in August 2004
KM -- Accumulated Kilometers on odometer
HP -- Horse Power
cc -- Cylinder Volume in cubic centimeters
Doors -- Number of doors
Cylinders -- Number of cylinders
Gears -- Number of gear positions
Quarterly_Tax -- Quarterly road tax in EUROs
Weight -- Weight in Kilograms
Prepare a prediction model for profit of 50_startups data.
Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model.
R&D Spend -- Research and devolop spend in the past few years
Administration -- spend on administration in the past few years
Marketing Spend -- spend on Marketing in the past few years
State -- states from which data is collected
Profit -- profit of each state in the past few years