adplus-dvertising

Welcome to the Statistical Inference and Regression Models MCQs Page

Dive deep into the fascinating world of Statistical Inference and Regression Models with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Statistical Inference and Regression Models, a crucial aspect of Data Science. In this section, you will encounter a diverse range of MCQs that cover various aspects of Statistical Inference and Regression Models, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Science.

frame-decoration

Check out the MCQs below to embark on an enriching journey through Statistical Inference and Regression Models. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Science.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Statistical Inference and Regression Models. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Statistical Inference and Regression Models MCQs | Page 6 of 8

Explore more Topics under Data Science

Q51.
Which of the following tool is used for estimating standard errors and the bias of estimators?
Discuss
Answer: (c).ggplot2
Q52.
Power is the probability of rejecting the null hypothesis when it is true.
Discuss
Answer: (b).False
Discuss
Answer: (d).All of the mentioned
Q54.
Which of the following implies no relationship with respect to correlation?
Discuss
Answer: (b).Cor(X, Y) = 0
Q55.
Normalized data are centered at ___ and have units equal to standard deviations of the original data.

a.

0

b.

5

c.

1

d.

10

Discuss
Answer: (a).0
Discuss
Answer: (c).Least squares is not an estimation tool
Discuss
Answer: (a).Positive residuals are above the line, negative residuals are below
Q58.
Minimizing the likelihood is the same as maximizing -2 log likelihood.
Discuss
Answer: (a).True
Q59.
Which of the following refers to the circumstance in which the variability of a variable is unequal across the range of values of a second variable that predicts it?
Discuss
Answer: (b).Heteroskedasticity
Q60.
Residuals are useful for investigating best model fit.
Discuss
Answer: (b).False
Page 6 of 8

Suggested Topics

Are you eager to expand your knowledge beyond Data Science? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!