input: def linear_regression_prediction(X: List[float], Y: List[float]) -> float:
      """Performs linear regression on the given dataset and predicts a value for a new input.
      >>> linear_regression_prediction([1, 2, 3, 4, 5], [3, 5, 7, 9, 13])
      15.0
      """
      
      import numpy as np
      from sklearn.linear_model import LinearRegression
  
      X = np.array(X).reshape(-1, 1)
      Y = np.array(Y)
  
      model = LinearRegression()
      model.fit(X, Y)
  
      # Predict the value for input 7
      return model.predict([[7]])[0]
output:     import numpy as np
      from sklearn.linear_model import LinearRegression
  
      X = np.array(X).reshape(-1, 1)
      Y = np.array(Y)
  
      model = LinearRegression()
      model.fit(X, Y)
  
      # Predict the value for input 7
      return model.predict([[7]])[0]