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Interpreting Coefficients in a Logistic Regression output: what is 1/e^ßX
Posted on 12/6/15 at 3:00 am
Posted on 12/6/15 at 3:00 am
as opposed to e^ßX?
is 1/e^ßX interpreting the odds ratio based on a "0" outcome of the target variable? while e^ßX is for "1" outcome?
example:
What is the effect of a 1-point increase in MobilHome (categorical variable scored 1 or 0)when the coefficient is -1.5583?
so difference in interpretation between e^-1.5583=0.2104 and 1/e^-1.5583=4.75
I know that e^-1.5583=0.2104 means There is a 79% decrease in the odds of evacuating with a 1 unit increase in MobilHome.
outcome variable "1" = evacuate and "0" = don't evacuate
is 1/e^ßX interpreting the odds ratio based on a "0" outcome of the target variable? while e^ßX is for "1" outcome?
example:
What is the effect of a 1-point increase in MobilHome (categorical variable scored 1 or 0)when the coefficient is -1.5583?
so difference in interpretation between e^-1.5583=0.2104 and 1/e^-1.5583=4.75
I know that e^-1.5583=0.2104 means There is a 79% decrease in the odds of evacuating with a 1 unit increase in MobilHome.
outcome variable "1" = evacuate and "0" = don't evacuate
This post was edited on 12/6/15 at 3:14 am
Posted on 12/6/15 at 3:02 am to steeltiger17
Mayonnaise is an instrument
Posted on 12/6/15 at 3:05 am to steeltiger17
It's not a good idea to cram for finals, bro.
Posted on 12/6/15 at 3:10 am to steeltiger17
The outcome of the target variable is r3.873 when the coefficient is randomized. The standard deviation is always multiplied by the subprime coefficient when conditions are approved.
1•52b¥70 is the expressed numerator as opposed to interpreting the target variable. All evacuated outcome values must be greater than 10£.
4^61~89v+4109¥
1•52b¥70 is the expressed numerator as opposed to interpreting the target variable. All evacuated outcome values must be greater than 10£.
4^61~89v+4109¥
This post was edited on 12/6/15 at 3:12 am
Posted on 12/6/15 at 3:15 am to Jet12
quote:that would make sense if my exam is today
It's not a good idea to cram for finals, bro.
This post was edited on 12/6/15 at 3:18 am
Posted on 12/6/15 at 3:39 am to steeltiger17
In the context of this website the correct answer is 288.
Posted on 12/6/15 at 4:36 am to steeltiger17
quote:
MobilHome
trashy
Posted on 12/6/15 at 4:49 am to steeltiger17
Chicken said there would be no math, none, zero.
Ask Chicken to re-activate the math board.
Ask Chicken to re-activate the math board.
This post was edited on 12/6/15 at 4:51 am
Posted on 12/6/15 at 5:17 am to steeltiger17
quote:
What is the effect of a 1-point increase in MobilHome (categorical variable scored 1 or 0)when the coefficient is -1.5583?
so difference in interpretation between e^-1.5583=0.2104 and 1/e^-1.5583=4.75
I know that e^-1.5583=0.2104 means There is a 79% decrease in the odds of evacuating with a 1 unit increase in MobilHome.
outcome variable "1" = evacuate and "0" = don't evacuate
Huh??
Posted on 12/6/15 at 5:21 am to steeltiger17
That's as hard as Chinese Arithmetic,
1, evacuate.
Pro Tip: Remember to take your meth before you leave your trailer.
1, evacuate.
Pro Tip: Remember to take your meth before you leave your trailer.
Posted on 12/6/15 at 5:36 am to steeltiger17
This whole question is meaningless given that the tornado factor isn't specified.
Posted on 12/6/15 at 5:44 am to UFownstSECsince1950
I concur.
However nowhere is the issue of proper tire inflation addressed to lower rolling resistance.
However nowhere is the issue of proper tire inflation addressed to lower rolling resistance.
Posted on 12/6/15 at 9:18 am to steeltiger17
Must be finals season. Good luck, I used to be like you, it's better to try to keep up during the semester than wait til the end
Posted on 12/6/15 at 9:30 am to steeltiger17
quote:
is 1/e^ßX interpreting the odds ratio based on a "0" outcome of the target variable? while e^ßX is for "1" outcome?
Yes.
Posted on 12/6/15 at 9:32 am to steeltiger17
Speak English muther fricker.
Posted on 12/6/15 at 9:35 am to steeltiger17
That variable is dichotomous, not 'categorical', there is no '1 point increase' in such a variable. It's either yes or no, 1 or 0.
Each coefficient is evaluated in the context of holding all variables at their expected values.
Go to library. Get book from Hosmer and Lemeshow. They are the kings.
Why are you asking these questions? Don't you have a textbook? Those things generally explain interpretation of models. If you're not in a stats course, then definitely go get H&L book. You need it.
Each coefficient is evaluated in the context of holding all variables at their expected values.
Go to library. Get book from Hosmer and Lemeshow. They are the kings.
Why are you asking these questions? Don't you have a textbook? Those things generally explain interpretation of models. If you're not in a stats course, then definitely go get H&L book. You need it.
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