Hello Learners, Today, we are going to share Digital Analytics & Regression Cognitive Class Course Exam Answer launched by IBM. This certification course is totally free of cost✅✅✅ for you and available on Cognitive Class platform.
Here, you will find Digital Analytics & Regression Exam Answers in Bold Color which are given below.
These answers are updated recently and are 100% correct✅ answers of all modules and final exam answers of Digital Analytics & Regression from Cognitive Class Certification Course.
Course Name | Digital Analytics & Regression |
Organization | IBM |
Skill | Online Education |
Level | Beginner |
Language | English |
Price | Free |
Certificate | Yes |
For participating in quiz/exam, first you will need to enroll yourself in the given link mention below and learn Digital Analytics & Regression launched by IBM. Interested students must enroll for this courses and grab this golden opportunity which will definitely enhance their technical skills and you will learn more things in brief.
Link for Course Enrollment: Enroll Now
Use “Ctrl+F” To Find Any Questions Answer. & For Mobile User, You Just Need To Click On Three dots In Your Browser & You Will Get A “Find” Option There. Use These Option to Get Any Random Questions Answer.
Digital Analytics & Regression Cognitive Class Course Exam Answer
Module 1: Case Study ‘CEO vs. CMO’
Question 1: You are a newly-hired analyst at a small tech startup in a big metropolitan city. In your first team meeting, and one week before the scheduled product launch, the Chief Executive Officer (CEO) and the Chief Marketing Officer (CMO) have a heated argument about what to call the product.
The CEO has done a quick search on Google Trends and found that ‘Analytics’ is, by far, a more popular search term than ‘Data Science’ or ‘Data Scientist’. The CMO, who has some experience in SEM from his work at another tech company, has a gut feeling that ‘Data Scientist Workbench’ will bring the right target group to the new product. The two executives ask you to weigh in.
Based on the Case Study you have read, which of the following is the most suitable data set to start an analysis to help the executives decide which term to include in the product name?
- Existing Company Adwords Data
- Open Data
- Search Engine Trends Data
- Survey Data
Question 2: Based on the Case Study you have read, how many domains available for purchase?
- 1
- 2
- 3
- 4
Question 3: Based on the Case Study you have read, what was the ‘Expert Tip’?
- Don’t offer your opinion to senior executives if you are new to a company.
- Your first assumption is always the correct one.
- If it can’t be measured, it doesn’t exist.
- When solving business problems with data, be curious.
Module 2: Importing Google Trends data in R
Question 1: How many rows does the function head(dataset) return?
- Enter your answer below: 6
Question 2: What does head(case_table$WeekID) do?
Enter your answer below:
- returns the first six rows of case_table and all of its columns
- returns all the data in case_table
- returns the first six items of the WeekID column in case_table
- returns the entire WeekID column of data in case_table
Question 3: TRUE or FALSE? The function str() can be used to tell you the number of rows and columns in a dataframe, and some other characteristics of the data.
- True
- False
Module 3: Plotting & Correlation
Question 1: Which search term has the most number of searches?
- Machine Learning
- Data Scientist
- Analytics
- Data Science
- Regression
Question 2: A correlation score of 0.9 between variables X and Y indicate which of the following?
- As X increases, Y decreases.
- There is a weak positive correlation between X and Y.
- X and Y are opposites of each other.
- A strong positive correlation.
- X causes Y.
Question 3: In the R script file, which command can you use to plot line graphs?
- makePlot( )
- createGraph( )
- plot( )
- linegraph( )
- graph( )
Module 4: Simple Linear Regression in R
Question 1: What is the correlation between searches for ‘data science’ and ‘data scientist’? Give the numeric answer to two decimal places.
Answer:
Question 2: Running a linear model in R for a dataset results in the formula: Y = 5.0 + 3.0X. Which of the following is true?
- Y will always be positive.
- X is 3 times as large as Y.
- There is a negative correlation between X and Y.
- As X increases, Y decreases.
- When X is equal to 5, the model predicts that Y will equal 20.
Question 3: In R, what symbol or character do we use to specify a column in a table?
- ?
- ==
- /
- $
Digital Analytics & Regression Final Exam Answers – Cognitive Class
Question 1: What is the correlation (as a %) between the two search terms in the exam data set? For example, if the correlation is 0.5, enter 50 below.
Answer:
Question 2: What is the mean of the values for Hadoop searches? Your answer should include two decimal places (for example, 10.01).
Answer:
Question 3: What is the R Squared for the Regression model in the exam data set? The answer format must be a percentage with no decimal places. For example, if the R^2 value is 0.5, then you should write 50 below.
Answer:
Question 4: What weeks correspond to WeekID 16?
- 2004-06-06 – 2004-06-12
- 2004-01-25 – 2004-01-31
- 2004-04-18 – 2004-04-24
- 2004-08-15 – 2004-08-21
Question 5: Which R function creates a linear model?
- lm ( )
- abline ( )
- regression ( )
- summary ( )
Question 6: Determine the formula for your linear model. Using the linear model you have just created to predict search index values: if the search index for ‘Hadoop’ is 35, what is the predicted corresponding search index for ‘Big Data’ according to your model?
- 88
- 19
- 45
- 30
Question 7: Generally speaking, the simple linear model created from these two search terms fits the data well, TRUE/FALSE?
- TRUE
- FALSE
Question 8: In the Linear Model, ‘Hadoop’ is the Y variable, TRUE/FALSE?
- TRUE
- FALSE
Question 9: Having now gone through the exercises in this course, and going back to the debate between the CEO vs. CMO, what product name was chosen as the most suitable for the target audience?
- Analytics Workbench
- Data Scientist Workbench
Conclusion
Hopefully, this article will be useful for you to find all the Modules and Final Quiz Answers of Digital Analytics & Regression of Cognitive Class and grab some premium knowledge with less effort. If this article really helped you in any way then make sure to share it with your friends on social media and let them also know about this amazing training. You can also check out our other course Answers. So, be with us guys we will share a lot more free courses and their exam/quiz solutions also and follow our Techno-RJ Blog for more updates.
Hey There. I found your weblog the use of msn. This is a really smartly written article. I will make sure to bookmark it and come back to read extra of your helpful info. Thanks for the post. I will definitely comeback.
I’ll immediately snatch your rss feed as I can not to find your email subscription hyperlink or newsletter service. Do you’ve any? Please permit me recognize in order that I could subscribe. Thanks.
Keep working ,impressive job!
This is really interesting, You’re a very skilled blogger. I have joined your rss feed and look forward to seeking more of your wonderful post. Also, I’ve shared your web site in my social networks!
Hi! This is my first visit to your blog! We are a team of volunteers and starting
a new initiative in a community in the same niche. Your blog provided us valuable information to work on. You have done a
outstanding job!
I am perpetually thought about this, thankyou for posting.
Hi there, I discovered your web site by way of Google at the same time as looking for a comparable subject, your site came up, it appears great. I have bookmarked it in my google bookmarks.
Thank you for sharing excellent informations. Your web-site is very cool. I am impressed by the details that you have on this blog. It reveals how nicely you perceive this subject. Bookmarked this website page, will come back for extra articles. You, my friend, ROCK! I found just the information I already searched all over the place and just could not come across. What an ideal web-site.
I went over this site and I believe you have a lot of wonderful information, saved to fav (:.
Glad to be one of several visitors on this awing web site : D.
This blog is definitely rather handy since I’m at the moment creating an internet floral website – although I am only starting out therefore it’s really fairly small, nothing like this site. Can link to a few of the posts here as they are quite. Thanks much. Zoey Olsen
Your style is so unique compared to many other people. Thank you for publishing when you have the opportunity,Guess I will just make this bookmarked.2
I used to be recommended this website by way of my cousin. I am not certain whether this submit is written via him as nobody else know such distinct approximately my difficulty. You are wonderful! Thanks!
Hi there, I found your blog via Google while looking for a related topic, your site came up, it looks good. I have bookmarked it in my google bookmarks.
hi!,I like your writing so much! proportion we keep up a correspondence more approximately your article on AOL? I require a specialist in this area to unravel my problem. Maybe that is you! Looking forward to see you.
Hmm is anyone else encountering problems with the pictures on this blog loading? I’m trying to determine if its a problem on my end or if it’s the blog. Any feed-back would be greatly appreciated.
I wanted to thank you for this great read!! I definitely enjoying every little bit of it I have you bookmarked to check out new stuff you post…
Great – I should definitely pronounce, impressed with your web site. I had no trouble navigating through all tabs and related info ended up being truly simple to do to access. I recently found what I hoped for before you know it in the least. Reasonably unusual. Is likely to appreciate it for those who add forums or something, site theme . a tones way for your client to communicate. Excellent task..
It’s really a great and helpful piece of information. I am satisfied that you shared this useful information with us. Please stay us informed like this. Thank you for sharing.