input: Write a python function to create and fit a linear regression model given input X and Y datasets using scikit-learn.
  assert create_and_fit_model(np.array([[59, 140]]), np.array([30])).coef_.shape == (2,)
  assert create_and_fit_model(np.array([[1, 2], [3, 4]]), np.array([1, 2])).coef_.shape == (2,)
output: def create_and_fit_model(X, Y):
      from sklearn.linear_model import LinearRegression
      model = LinearRegression()
      model.fit(X, Y)
      return model