I'm running a regression analysis and I'm not sure what constitutes a good p-value. I understand that the p-value helps determine the statistical significance of my results, but I'm confused about the specific threshold or range that indicates a strong or significant relationship in my regression model.
7 answers
TopazRider
Sat Oct 12 2024
When conducting statistical tests, the P-value is compared against a predetermined significance level, commonly set at 0.05.
CoinMaster
Sat Oct 12 2024
If the P-value falls below this threshold, it suggests that the observed data is unlikely to have occurred by chance alone.
CryptoLord
Sat Oct 12 2024
Statistical significance is a crucial aspect in data analysis, allowing researchers to draw meaningful conclusions from their observations.
charlotte_wilson_coder
Sat Oct 12 2024
The P-value, or probability value, is a numerical measure that assesses the strength of evidence against the null hypothesis.
CryptoKing
Sat Oct 12 2024
In such cases, the null hypothesis can be rejected with reasonable confidence, indicating the presence of a relationship between the variables.