Giulia
Fri Oct 25 2024
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7 answers
1393
Why use propensity score matching instead of regression?
I'm wondering why propensity score matching is preferred over regression analysis. What are the advantages of using this method compared to traditional regression techniques?
CryptoMagician
Tue Oct 22 2024
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5 answers
1111
What is a good p-value in regression?
I'm running a regression analysis and I'm trying to interpret the p-value. I want to know what constitutes a good p-value in the context of regression, so I can understand the significance of my results.
isabella_bailey_economist
Sat Oct 19 2024
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5 answers
890
What if p-value is greater than 0.05 in regression?
I'm running a regression analysis and I've obtained a p-value that's greater than 0.05. What does this mean for my model and the significance of my results? Should I be concerned or is there another way to interpret this?
Caterina
Thu Oct 10 2024
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7 answers
1706
What is a good p-value for regression?
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.
SsamziegangStroll
Mon Oct 07 2024
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7 answers
1955
Why is logit called a regression?
I'm curious to understand why the term "logit" is referred to as a regression, despite its seemingly distinct mathematical and statistical underpinnings. Could you elaborate on the rationale behind this classification, highlighting the key similarities or connections that justify labeling logit as a regression model, especially in the context of statistical analysis and modeling?
