## Inference on parameters

We set variables appropriately for the logistic regression model

Probability for "Yes"

starting from the response of `Yes`and

`No`. Then set the columns for predictors from

`X1`up to

`X9`. Data is obtained for all the different groups or conditions, summarized in

*n*of these combinations.

The result of fitting the logistic regression is obtained in the table below.

For each of the parameters from the intercept to the coefficients , the summary result shows:

- The estimate of "log odds ratio" is given for each parameter.
- The 95% confidence interval
`(L.Bound, U.Bound)`is calculated for . - The null hypothesis
is constructed, and the
`p.value`is obtained. - The estimate of odds ratio (OR) is obtained.

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