Data Science Questions and Answers – Binary and Count Outcomes

This set of Data Science Multiple Choice Questions & Answers (MCQs) focuses on “Binary and Count Outcomes”.

1. How many components are present in generalized linear models?
a) 2
b) 4
c) 6
d) None of the mentioned
View Answer

Answer: d
Explanation: Generalized linear models involve three components.

2. Point out the wrong statement.
a) Additive response models don’t make much sense if the response is discrete, or strictly positive
b) Transformations are often easy to interpret in linear model
c) Regression models are used to predict one variable from one or more other variables
d) All of the mentioned
View Answer

Answer: b
Explanation: Transformations are often hard to interpret in linear model.

3. Which of the following component is involved in generalized linear models?
a) An exponential family model for the response
b) A systematic component via a linear predictor
c) A link function that connects the means of the response to the linear predictor
d) All of the mentioned
View Answer

Answer: d
Explanation: GLM is a flexible generalization of ordinary linear regression that allows for response variables that have error distribution models other than a normal distribution.

4. Collection of exchangeable binary outcomes for the same covariate data are called _______ outcomes.
a) random
b) direct
c) binomial
d) none of the mentioned
View Answer

Answer: c
Explanation: The multivariate regression model for binary outcomes gives odds ratios, not risk ratios.

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5. Point out the wrong statement.
a) Asymptotics are used for inference usually
b) Adding squared terms makes it continuously differentiable at the knot points
c) Adding squared terms makes it twice continuously differentiable at the knot points
d) None of the mentioned
View Answer

Answer: c
Explanation: Adding cubic terms makes it twice continuously differentiable at the knot points.

6. Which of the following is example use of Poisson distribution?
a) Analyzing contingency table data
b) Modeling web traffic hits
c) Incidence rates
d) All of the mentioned
View Answer

Answer: d
Explanation: The Poisson distribution is a useful model for counts and rates.

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7. Principal components or factor analytic models on covariates are often useful for reducing complex covariate spaces.
a) True
b) False
View Answer

Answer: a
Explanation: The space of models explodes quickly as you add interactions and polynomial terms.

8. How many outcomes are possible with bernoulli trial?
a) 2
b) 3
c) 4
d) None of the mentioned
View Answer

Answer: a
Explanation: Bernoulli trial is a random experiment with exactly two possible outcomes.

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9. Which of the following analysis is a statistical process for estimating the relationships among variables?
a) Causal
b) Regression
c) Multivariate
d) All of the mentioned
View Answer

Answer: b
Explanation: Regression models provide the scientist with a powerful tool, allowing predictions about past, present, or future events to be made with information about past or present events.

10. Linear models are the most useful applied statistical technique.
a) True
b) False
View Answer

Answer: b
Explanation: Linear model do have limitations.

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If you find a mistake in question / option / answer, kindly take a screenshot and email to [email protected]

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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