I'm trying to understand the significance level in regression analysis, specifically, what does p 0.05 indicate? I want to know how this value helps in interpreting the results of a regression model.
The significance level of a p-value is crucial in statistical analysis. A p-value less than 0.05 serves as a threshold to determine statistical significance. When such a value is encountered, it indicates that the observed data is unlikely to have arisen from chance alone.
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FedericoMon Oct 14 2024
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SilviaMon Oct 14 2024
In the context of hypothesis testing, a p-value less than 0.05 suggests that the alternative hypothesis is favored over the null hypothesis. As a result, the null hypothesis, which assumes no difference or effect, should be rejected.
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SaraMon Oct 14 2024
Conversely, a p-value greater than 0.05 implies that the observed deviation from the null hypothesis is not statistically meaningful. This means that the data does not provide sufficient evidence to reject the null hypothesis.
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MariaMon Oct 14 2024
The interpretation of p-values requires caution. While a low p-value suggests statistical significance, it does not necessarily prove causation. Similarly, a high p-value does not necessarily mean that the null hypothesis is true.