Cryptocurrency Q&A
How do you interpret model coefficients?
How do you interpret model coefficients?
AzureWave
Fri Oct 11 2024
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7 answers
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I'm trying to understand how to interpret the coefficients of a statistical or machine learning model. I want to know how these coefficients affect the output and how to explain them in a meaningful way.
7 answers
Martina
Sun Oct 13 2024
In statistical analysis, the p-value plays a crucial role in determining the significance of a coefficient. It serves as a threshold to gauge the likelihood of an observed result being due to chance.
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MysticInfinity
Sun Oct 13 2024
When a p-value is low, specifically less than 0.05, it signifies that the coefficient in question is unlikely to be zero by mere coincidence. This implies that there is a statistically significant relationship between the variables being analyzed.
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Sara
Sun Oct 13 2024
Conversely, a high p-value, typically greater than 0.05, indicates that the coefficient cannot be reliably distinguished from zero. In other words, the observed result could very well be attributed to chance, and hence, it is not statistically significant.
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Martina
Sun Oct 13 2024
The threshold of 0.05 is often used as a standard benchmark for determining statistical significance, though this cutoff is not absolute and can vary depending on the field of study and the specific research question.
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MountFujiVista
Sat Oct 12 2024
It's important to interpret p-values within the context of the study design, sample size, and other factors that can influence the statistical analysis. A low p-value does not necessarily mean that the observed effect is practically significant or meaningful.
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