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Welcome to the Visualizing Data and Linear Regression MCQs Page

Dive deep into the fascinating world of Visualizing Data and Linear Regression with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Visualizing Data and Linear Regression, a crucial aspect of R Programming. In this section, you will encounter a diverse range of MCQs that cover various aspects of Visualizing Data and Linear Regression, 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 R Programming.

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Check out the MCQs below to embark on an enriching journey through Visualizing Data and Linear Regression. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of R Programming.

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

Visualizing Data and Linear Regression MCQs | Page 6 of 7

Q51.
When hypothesis tests and confidence limits are to be used, the residuals are assumed to follow the __________distribution.
Discuss
Answer: (c).Normal
Q52.
The IBM _________ analytics appliances combine high-capacity storage for Big Data with a massively-parallel processing platform for high-performance computing.
Discuss
Answer: (a).Watson
Q53.
______ is an integrated hosted analytics platform for marketing insights, predictive models, and marketing optimization.
Discuss
Answer: (c).LityxIQ
Q54.
________ is rapidly being adopted for computing descriptive and query types of analytics on Big data.
Discuss
Answer: (b).Hadoop
Q55.
_________ involves predicting a response with meaningful magnitude, such as quantity sold, stock price, or return on investment.
Discuss
Answer: (a).Regression
Q56.
Which of the following involves predicting a categorical response?
Discuss
Answer: (d).Classification
Q57.
Which of the following contains pre-built predictive tools?
Discuss
Answer: (a).alteryx
Q58.
__________ is proprietary tool for predictive analytics.
Discuss
Answer: (b).SAS
Q59.
Which of the following is preferred for text analytics?
Discuss
Answer: (b).Python
Q60.
______ is simplest class of analytics.
Discuss
Answer: (a).Descriptive
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