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Alecos Papadopoulos
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I found a few similar questions, but none quite had the answer I was looking for.

I aim to use logistic regression and have two IVs ("Independent Variables") that each have three categories. I have only seen IVs in ordinal logistic regression that have been continuous or binary categorical previously. I also cannot convert these IVs to a continuous format, as this will change the interpretability of the variables.

Am I able to include these IVs in their current state, or should I be looking to use another algorithm here? (E.g. decision tree?)

Thanks.

I found a few similar questions, but none quite had the answer I was looking for.

I aim to use logistic regression and have two IVs that each have three categories. I have only seen IVs in ordinal logistic regression that have been continuous or binary categorical previously. I also cannot convert these IVs to a continuous format, as this will change the interpretability of the variables.

Am I able to include these IVs in their current state, or should I be looking to use another algorithm here? (E.g. decision tree?)

Thanks.

I found a few similar questions, but none quite had the answer I was looking for.

I aim to use logistic regression and have two IVs ("Independent Variables") that each have three categories. I have only seen IVs in ordinal logistic regression that have been continuous or binary categorical previously. I also cannot convert these IVs to a continuous format, as this will change the interpretability of the variables.

Am I able to include these IVs in their current state, or should I be looking to use another algorithm here? (E.g. decision tree?)

Thanks.

spelling in title, punctuation, small edit for terseness
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Can I use a polytymouspolytomous categorical independent variable in logistic regression?

I found a few similar questions, but none quite had the answer I was looking for.

I am aimingaim to use logistic regression and have two IV'sIVs that each have three categories. I have only seen IV'sIVs in ordinal logistic regression that have been continuous or binary categorical previously. I also cannot convert these IV'sIVs to a continuous format, as this will change the interpretability of the variables.

Am I able to include these IV'sIVs in their current state, or should I be looking to use another algorithm here? (iE.eg. decision tree?)

Thanks.

Can I use a polytymous categorical independent variable in logistic regression?

I found a few similar questions but none quite had the answer I was looking for.

I am aiming to use logistic regression and have two IV's that each have three categories. I have only seen IV's in ordinal logistic regression that have been continuous or binary categorical previously. I also cannot convert these IV's to a continuous format, as this will change the interpretability of the variables.

Am I able to include these IV's in their current state or should I be looking to use another algorithm here? (i.e. decision tree)

Thanks

Can I use a polytomous categorical independent variable in logistic regression?

I found a few similar questions, but none quite had the answer I was looking for.

I aim to use logistic regression and have two IVs that each have three categories. I have only seen IVs in ordinal logistic regression that have been continuous or binary categorical previously. I also cannot convert these IVs to a continuous format, as this will change the interpretability of the variables.

Am I able to include these IVs in their current state, or should I be looking to use another algorithm here? (E.g. decision tree?)

Thanks.

Source Link

Can I use a polytymous categorical independent variable in logistic regression?

I found a few similar questions but none quite had the answer I was looking for.

I am aiming to use logistic regression and have two IV's that each have three categories. I have only seen IV's in ordinal logistic regression that have been continuous or binary categorical previously. I also cannot convert these IV's to a continuous format, as this will change the interpretability of the variables.

Am I able to include these IV's in their current state or should I be looking to use another algorithm here? (i.e. decision tree)

Thanks