input: Write a python function to read a CSV file and perform a linear regression to predict one column based on another. 
  assert isinstance(predict_age('people.csv'), np.ndarray)
  assert len(predict_age('people.csv')) > 0
output: import numpy as np
  import pandas as pd
  from sklearn.linear_model import LinearRegression
  
  def predict_age(file_path):
      data = pd.read_csv(file_path)
      X = data[['Height']].values
      y = data['Age'].values
      model = LinearRegression()
      model.fit(X, y)
      predicted_ages = model.predict(X)
      return predicted_ages