To write a python program to implement multivariate linear regression and predict the output.
- Hardware – PCs
- Anaconda – Python 3.7 Installation / Moodle-Code Runner
Step1: Import pandas as pd.
Step2: Import Linear model from sklearn
Step3: Read the file cars.csv.
Step4: Assign the values for x and y as required and create the linear regression model.
Step5: Display the result.
# To write a python program to implement multivariate linear regression and predict the output.
# Developed by : M.GUNASEKHAR
Register Number : 212221240014
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)
Thus the multivariate linear regression is implemented and predicted the output using python program.