回归标准误

def solve():
    import numpy as np
    from scipy import stats
    x = [____,____,____,____,____]
    y = [____,____,____,____,____]
    result = stats.linregress(____)
    y_pred = [result.slope * xi + result.intercept for xi in x]
    sse = sum((____)**____ for yi, yp in zip(____))
    se = np.sqrt(sse / (len(____) - ____))
    print(____)