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Multiple linear regression is a statistical technique that uses multiple linear regression to model more complex relationships between two or more independent variables and one dependent variable. It is used when there are two or more x variables.

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Multi-Linear-Regression-

Q1) 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.

Use:50_Startups.csv file

Q2) 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")]

Use:ToyotaCorolla.csv file

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Multiple linear regression is a statistical technique that uses multiple linear regression to model more complex relationships between two or more independent variables and one dependent variable. It is used when there are two or more x variables.

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