单侧检验

def solve():
    import pandas as pd
    import statsmodels.api as sm
    import matplotlib.pyplot as plt
    import numpy as np
    from scipy import stats
    
    df = pd.read_csv(____)
    X = sm.add_constant(____)
    model = sm.OLS(____).fit()
    
    t_stat = model.tvalues['____']
    p_one_sided = model.pvalues['____'] / ____
    
    plt.figure(figsize=(____,____))
    x = np.linspace(____)
    plt.plot(x, stats.t.pdf(x, df=len(____)-____), '____', linewidth=____, label='____')
    
    plt.axvline(____)
    plt.fill_between(x[x > t_stat], stats.t.pdf(x[x > t_stat], len(____)-____), 
                     alpha=____, color='____', label='____')
    
    plt.title(____)
    plt.xlabel(____)
    plt.ylabel(____)
    plt.legend()
    plt.grid(____)
    plt.tight_layout()
    plt.show()
    
    print(round(____))