线性趋势回归

def solve():
    import pandas as pd
    import numpy as np
    import matplotlib.pyplot as plt
    from sklearn.linear_model import LinearRegression
    url = '____'
    df = pd.read_csv(____)
    mod = LinearRegression().fit(____)
    print(____)
    print(____)
    xl = np.linspace(df['____'].min(), ____, ____)
    plt.scatter(____)
    plt.plot(xl, mod.predict(xl.reshape(____)), '____', label='____')
    plt.legend(); plt.title(____); plt.tight_layout(); plt.show()