input: def linear_regression_prediction(X, Y):
      """
      Perform linear regression for predicting a number in the given dataset.
      
      >>> linear_regression_prediction([1,2,3,4,5], [3,5,7,9,13])
      [16.0]
      """
      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)
  
      # Predicts the value of y for x = 7
      return model.predict([[7]])
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)
  
      # Predicts the value of y for x = 7
      return model.predict([[7]])