In the R script for Logistic Regression, what argument is required in
𝑔
𝑙
𝑚
(
)
to specify a logistic model?

Question

In the R script for Logistic Regression, what argument is required in 
𝑔
𝑙
𝑚
(
)
 to specify a logistic model?

BlackTom AI · Accepted Answer

glm(..., family=binomial) tells R to treat the response as binomial and to use the logit link by default, which is the standard logistic regression formulation.

1. Relevant knowledge points and concepts
- The glm() function fits generalized linear models in R. It requires a family argument to specify the error distribution and link function.
- Logistic regression is a GLM with a binomial error distribution and a logit link (P(y=1) modeled via logit).
- Valid families include gaussian (normal), poisson (counts), binomial (binary outcomes), etc. There is no built-in family named "logistic" in base R.

2. Complete reasoning step by step
- To fit logistic regression, you must tell glm that the outcome follows a binomial distribution. That is accomplished with family=binomial.
- The default link for family=binomial is "logit", so glm(y ~ x, family=binomial) fits a logit (log-odds) model.
- You can also explicitly set the link: glm(y ~ x, family=binomial(link="logit")) — equivalent to the simpler family=binomial.

3. Intermediate steps / example code
- Binary response vector example: glm(y ~ x1 + x2, family=binomial, data=mydata)
- Success/failure counts example: glm(cbind(successes, failures) ~ x, family=binomial, data=mydata)
- Explicit link example: glm(y ~ x, family=binomial(link="logit"), data=mydata)

4. Why the correct answer is correct
- family=binomial tells glm to use the binomial distribution for responses and, by default, the logit link, which defines logistic regression. This is exactly how R specifies logistic models with glm.

5. Why the other options are incorrect
- family=gaussian: specifies normal errors with identity link (linear regression), not logistic.
- family=poisson: specifies Poisson distribution with log link for count data, not binary outcomes.
- family=logistic: not a recognized family name in base R; glm does not accept "logistic" as a family (use binomial with logit link instead).

6. Conclusion
The required argument is family=binomial, which matches the provided correct answer.

In the R script for Logistic Regression, what argument is required in 𝑔 𝑙 𝑚 ( ) to specify a logistic model?Single choice

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