# 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.

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 1 of 8

Q1.
Which of the following goal is incorrectly represented in the below figure?
Q2.
Which of the following function can be replaced with the question mark in the below figure?
Q3.
Which of the following outcome is odd man out in the below figure?
Q4.
Which of the following is the probability calculus of beliefs, given that beliefs follow certain rules?
Q5.
Point out the correct statement.
Answer: (a).Bayesian inference is the use of Bayesian probability representation of beliefs to perform inference
Q6.
Which of the following can be considered as random variable?
Q7.
Which of the following random variable that take on only a countable number of possibilities?
Q8.
Point out the wrong statement.
Answer: (b).There are three types of random variable
Q9.
Which of the following is also referred to as random variable?