房价与面积关系（关系探索）

def solve():
    import pandas as pd
    import matplotlib.pyplot as plt
    import numpy as np
    
    url = 'https://liangdaima.com/static/data/wooldridge/hprice1.csv'
    df = pd.read_csv(url)
    
    from scipy import stats
    plt.figure(figsize=(10,6))
    plt.scatter(df['sqrft'], df['price'], alpha=0.6, color='orange')
    slope, intercept, r_value, p_value, std_err = stats.linregress(df['sqrft'], df['price'])
    x_line = np.linspace(df['sqrft'].min(), df['sqrft'].max(), 100)
    plt.plot(x_line, slope*x_line + intercept, 'r--', linewidth=2, label=f'R^2={r_value**2:.3f}')
    plt.title('房屋面积与价格关系', fontsize=14)
    plt.xlabel('房屋面积（平方英尺）', fontsize=12)
    plt.ylabel('价格（千美元）', fontsize=12)
    plt.legend()
    plt.grid(alpha=0.3)
    plt.tight_layout()
    plt.show()
    return "可视化代码执行完成"