Let's say I have this hypothetical data of height to chance of someone have head concussion:
- Height 176 +- 10 in Concussion Group with n = 100
- Height of 155 +-12 in non concussion group with n = 150
Is it possible to do logistic regression (and to search for the odds ratio) by this data? Thank you!
What is your research question please? and probably not. D. Booth
@david eugene
What is the correlation of height to concussion?
Zakka Zayd Zhullatullah Jayadisastra I see you don't want correlation. Let y= 0 if concussion and 1 if not. then use y as the DV and height(X) as the IV. Your model is logit(y) =a +bX
Then see Chapter 20 of https://b-ok.cc/book/5825760/ed313f
and you're set. Best, D. Booth
In statistics, the logistic model (or logit model) is used to model the ... Coefficient, Std.Error, z-value, P-value (Wald) ... For each level of the dependent variable, find the mean of the predicted probabilities
Logistic regression models are a great tool for analysing binary and categorical data, allowing you to perform a contextual analysis to understand the relationships between the variables, test for differences, estimate effects, make predictions, and plan for future scenarios
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