Shyamnaveenraj / Multivariate-Linear-Regression

Implementation of Multivariate Linear Regression

Aim

To write a python program to implement multivariate linear regression and predict the output.

Equipment’s required:

1. Hardware – PCs
2. Anaconda – Python 3.7 Installation / Moodle-Code Runner

Algorithm:

Step1

Import pandas

Step2

Import linear_model

Step3

Read the csv file

Step4

Enter the parameters to implement

Step5

Run the program and predict the output

Program:

import pandas as pd
from sklearn import linear_model 
df=pd.read_csv("cars.csv")
x=df[['Weight','Volume']]
y=df['CO2']
regr=linear_model.LinearRegression()
regr.fit(x,y)
print("Coefficient:",regr.coef_)
print("Intercept:",regr.intercept_)
predictedCO2=regr.predict([[3300,1300]])
print("predicted CO@ for the corresponding weight and volume",predictedCO2)

Output:

Result

Thus the multivariate linear regression is implemented and predicted the output using python program.