Changing P value

app/pages/week_5.py

@@ -309,7 +309,7 @@ print(f"Correlation 3: {corr3:.3f}")
     st.write("""
     3. **Reading Linear Regression Output (解读线性回归结果):**
        - R-squared (R²): Proportion of variance explained by the model (0-1)
-       - p-value: Probability that the observed relationship occurred by chance
+       - p-value: It represents the probability of observing results at least as extreme as the ones seen in the study, assuming the null hypothesis is true. Essentially, it's the likelihood of getting the observed outcome (or a more extreme one) if there's actually no real effect or relationship being studied
        - Coefficients (系数): How much the dependent variable changes with a one-unit change in the independent variable
        - Standard errors: Uncertainty in coefficient estimates
        - Confidence intervals: Range where true coefficient likely lies