经验二次项（含曲线图）

def solve():
    import pandas as pd
    import numpy as np
    import statsmodels.api as sm
    import matplotlib.pyplot as plt
    
    df = pd.read_csv(____)
    df['____'] = np.log(____)
    df['____'] = df['____'] ** ____
    X = sm.add_constant(____)
    model = sm.OLS(____).fit()
    
    exper_range = np.linspace(df['____'].min(), df['____'].max(), ____)
    educ_mean = df['____'].mean()
    log_wage_pred = model.params['____'] + model.params['____'] * educ_mean +                     model.params['____'] * exper_range + model.params['____'] * exper_range**____
    
    plt.figure(figsize=(____,____))
    plt.plot(____)
    plt.scatter(____)
    plt.title(____)
    plt.xlabel(____)
    plt.ylabel(____)
    plt.legend()
    plt.grid(____)
    plt.tight_layout()
    plt.show()
    
    exper_star = -model.params['____'] / (____ * model.params['____'])
    print(____)