ShaikRiyazSandy / Multi-Linear-Regression

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. Consider only the below columns and prepare a prediction model for predicting Price. Corolla<-Corolla[c("Price","Age_

Multi-Linear-Regression

Problem Statement - 1

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.

Features

• 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

Problem Statement - 2

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
Gears -- Number of gear positions
Quarterly_Tax -- Quarterly road tax in EUROs
Weight -- Weight in Kilograms