import pandas as pd
import seaborn as sns
import statsmodels.api as sm
from statsmodels.formula.api import ols

tips=sns.load_dataset('tips')
tips

model=ols('total_bill~day+time',data=tips).fit()
two_anova_table=sm.stats.anova_lm(model,typ=2)
print("\n Two anova result based on day and time:")
print(two_anova_table)

p_val1=0.510480
p_val2=0.127347

if p_val1>0.05:
    print('Accept H0')
else:
    print('Reject H0')

if p_val2>0.05:
    print('Accept H0')
else:
    print('Reject H0')