input: Write a python function to predict age based on height and weight using Linear Regression from sklearn.
  assert round(predict_age(1.6, 65), 1) == 16.7
  assert round(predict_age(2.0, 75), 1) == 21.0
  assert round(predict_age(1.5, 55), 1) == 13.3
output: def predict_age(height, weight):
      from sklearn.linear_model import LinearRegression
      import numpy as np
      
      # Dummy data for the purpose of training the model
      heights = np.array([1.5, 1.6, 1.7, 1.8, 1.9, 2.0]).reshape(-1, 1)
      weights = np.array([55, 60, 65, 70, 75, 80]).reshape(-1, 1)
      ages = np.array([13, 15, 17, 19, 21, 23])
      
      # Combine height and weight into a single feature array
      X = np.hstack((heights, weights))
      
      # Train the model
      model = LinearRegression()
      model.fit(X, ages)
      
      # Predict the age based on the input height and weight
      predicted_age = model.predict([[height, weight]])
      
      return predicted_age[0]