diff --git a/README.md b/README.md
index 18362d83..633ad138 100644
--- a/README.md
+++ b/README.md
@@ -6,34 +6,35 @@ To write a python program to implement multivariate linear regression and predic
 2.	Anaconda – Python 3.7 Installation / Moodle-Code Runner
 ## Algorithm:
 ### Step1
-<br>
-
+import pandas as pd.
 ### Step2
-<br>
-
+Read the csv file.
 ### Step3
-<br>
-
+Get the value of X and y variables.
 ### Step4
-<br>
-
+Create the linear regression model and fit.
 ### Step5
-<br>
-
+Predict the CO2 emission of a car where the weight is 2300kg, and the volume is 1300cm cube.
 ## Program:
 ```
-
-
-
-
-
-
+import pandas as pd
+from sklearn import linear_model
+df = pd.read_csv("carsemission.csv")
+X = df[['Weight', 'Volume']]
+y = df['CO2']
+regr = linear_model.LinearRegression()
+regr.fit(X, y)
+print('Coefficients:', regr.coef_)
+print('Intercept:',regr.intercept_)
+predictedCO2 = regr.predict([[3300, 1300]])
+print('Predicted CO2 for the corresponding weight and volume',predictedCO2)
 ```
 ## Output:
-
-### Insert your output
-
-<br>
+![image](https://github.com/Gokkul-M/Multivariate-Linear-Regression/assets/144870543/4a4ced3d-9d3e-4f0d-9cdf-695807e54e27)
+Insert your output
+Coefficient: [0.00755095 0.00780526]
+Intercept: 79.69471929115939
+Predicted CO@ for the corresponding weight and volume [114.75968007]
 
 ## Result
-Thus the multivariate linear regression is implemented and predicted the output using python program.
\ No newline at end of file
+Thus the multivariate linear regression is implemented and predicted the output using python program.