input: from typing import List, Tuple
  
  def linear_regression_prediction(X: List[float], Y: List[float]) -> None:
      """Perform linear regression on given dataset for predicting numbers in the same range.
      The function should train a Linear Regression model using the given X and Y values, 
      then predict the value for X = 7.
      >>> linear_regression_prediction([1,2,3,4,5], [3,5,7,9,13])
      [15.]
      """
      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
      print(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
      print(model.predict([[7]]))