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Posted 03-26-2017 03:16 AM
(862 views)

Hello

1) In logistic regression, if confidence interval includes the value 0 then what will be the conclusion on significance of the variable.

2) How to decide whether the data is Linear or Linearly Separable?.

Thanks

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@KafeelBasha wrote:

1) Is there any specific reason behind saying a variable is insignificant if the confidence interval includes 0.

2) I came across below warning message while going through an example of logistic regression in R

1) Because if it includes 0 in the interval that means a valid value is 0, which is no difference, ie not significant difference. I would suggest re-reading how confidence interval, p-values and hypothesis testing all relate.

2) **Ask R questions in an R forum, ask SAS question in a SAS forum.** But it means that some variables in your data are essentially the same. For example, a very basic examples is if you had two variables that are X=1 if A is present, 0 otherwise and Y=1 if A is not present, otherwise Y=0. They're the same.

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1) it is not significant.

2)don't understand your question. You mean linear or nonlinear relationship between X and Y ?

Check EFFECT statement.

Or you should check Q-Q plot .

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1) Is there any specific reason behind saying a variable is insignificant if the confidence interval includes 0.

2) I came across below warning message while going through an example of logistic regression in R

http://michael.hahsler.net/SMU/EMIS7332/R/logistic_regression.html

When can we say the data is linear or Linearly Separable?

Thanks in advance.

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@KafeelBasha wrote:

1) Is there any specific reason behind saying a variable is insignificant if the confidence interval includes 0.

2) I came across below warning message while going through an example of logistic regression in R

1) Because if it includes 0 in the interval that means a valid value is 0, which is no difference, ie not significant difference. I would suggest re-reading how confidence interval, p-values and hypothesis testing all relate.

2) **Ask R questions in an R forum, ask SAS question in a SAS forum.** But it means that some variables in your data are essentially the same. For example, a very basic examples is if you had two variables that are X=1 if A is present, 0 otherwise and Y=1 if A is not present, otherwise Y=0. They're the same.

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