input: def linear_regression_predict(X: List[int], Y: List[int]) -> float:
      """Performs linear regression on a given dataset and predicts the value of y for a new x.
      >>> linear_regression_predict([1,2,3,4,5], [3,5,7,9,13])
      17.0
      """
      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)
      
      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)
      
      return model.predict([[7]])[0]