# prediction with sklearn
New_Interest_Rate = 2.75
New_Unemployment_Rate = 5.3
# create a scaled feature array and make the prediction
feature_array = scaler.transform([[New_Interest_Rate ,New_Unemployment_Rate]])
print ('Predicted Stock Index Price: n', regression_model.predict(feature_array))