多元OLS回归工资方程

def solve():
    import pandas as pd
    import matplotlib.pyplot as plt
    from sklearn.linear_model import LinearRegression
    import numpy as np
    url = '____'
    df = pd.read_csv(____)
    X = df[['____','____','____']]
    mod = LinearRegression().fit(____)
    for c,b in zip(____): print(____)
    print(____)
    print(____)
    y_pred = mod.predict(____)
    plt.figure(figsize=(____,____))
    plt.subplot(____,____,____)
    plt.scatter(____)
    plt.plot([df['____'].min(), df['____'].max()], [df['____'].min(), df['____'].max()], '____', label='____')
    plt.xlabel(____); plt.ylabel(____); plt.title(____); plt.legend()
    df['____'] = np.log(____)
    mod = LinearRegression().fit(____)
    print(____)
    print(____)
    plt.subplot(____,____,____)
    plt.scatter(____)
    x_line = np.linspace(df['____'].min(), df['____'].max(), ____)
    plt.plot(x_line, mod.predict(x_line.reshape(____)), '____', lw=____, label='____')
    plt.xlabel(____); plt.ylabel(____); plt.title(____); plt.legend()
    plt.tight_layout(); plt.show()