input: Write a function to determine if it is possible to model a linear regression function using a neural network class in Python. If it is possible return True else return False. If the given input and output dimensions are valid then return True.
  assert linear_regression_possible(2, 1)==True
  assert linear_regression_possible(3, 2)==True
  assert linear_regression_possible(0, 1)==False
  assert linear_regression_possible(4, 0)==False
  assert linear_regression_possible(0, 0)==False
output: def linear_regression_possible(input_dim, output_dim):
      if input_dim > 0 and output_dim > 0:
          return True
      return False