diff --git a/README.md b/README.md
index 18362d83..7d87895d 100644
--- a/README.md
+++ b/README.md
@@ -22,18 +22,45 @@ To write a python program to implement multivariate linear regression and predic
## Program:
```
+import matplotlib.pyplot as plt
+import numpy as np
+from sklearn import linear_model
+from sklearn.datasets import load_diabetes
+from sklearn.model_selection import train_test_split
+# Load dataset
+data = load_diabetes()
+X = data.data
+y = data.target
+# Split dataset
+X_train, X_test, y_train, y_test = train_test_split(
+ X, y, test_size=0.4, random_state=1
+)
+# Model
+reg = linear_model.LinearRegression()
+reg.fit(X_train, y_train)
+print("Coefficients:", reg.coef_)
+print("Variance score:", reg.score(X_test, y_test))
+plt.scatter(reg.predict(X_train), reg.predict(X_train) - y_train,
+ color="green", s=10, label="Train data")
-```
-## Output:
+plt.scatter(reg.predict(X_test), reg.predict(X_test) - y_test,
+ color="blue", s=10, label="Test data")
-### Insert your output
+plt.hlines(y=0, xmin=0, xmax=400, linewidth=2)
-
+plt.legend(loc="upper right")
+plt.title("Residual Errors")
+plt.show()
+
+```
+## Output:
+
+
## 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.