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Graded Homework #2_ Data Analytics Business - MGT-6203-OAN

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  • Course
  • MGT 6203 Special Topics In Mgt
  • Institution
  • Georgia Institute Of Technology

Graded Homework #2 Due Feb 26 at 11:59pm Points 100 Questions 20 Available Feb 7 at 8am - Feb 26 at 11:59pm 20 days Time Limit None Instructions This quiz was locked Feb 26 at 11:59pm. Attempt History Attempt Time Score Regraded LATEST Attempt 1 1,794 minutes 75 out of 100 80 out of 100 ...

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  • January 23, 2023
  • 13
  • 2022/2023
  • Exam (elaborations)
  • Questions & answers

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  • graded homework 2 data analytics business mgt 6203 oan
  • graded homework 2 due feb 26 at 1159pm points 100 questions 20 available feb 7 at 8am feb 26 at 1159pm 20 days time limit none instruction

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  • Georgia Institute Of Technology
  • MGT 6203 Special Topics In Mgt
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4/14/2020 Graded Homework #2: Data Analytics Business - MGT-6203-OAN


 This quiz has been regraded; your new score reflects 2 questions that were affected.


Graded Homework #2
Due Feb 26 at 11:59pm Points 100 Questions 20
Available Feb 7 at 8am - Feb 26 at 11:59pm 20 days Time Limit None


Instructions
Graded Homework #2 covers the topics in Weeks 1, 2, 3, 4 ,5 and 6 and is worth 10% of your overall
grade. You may work on the homework for as long as you like within the given window. You are allowed
only ONE attempt for submission. Please note that your answers will automatically save as you key
them. As long as you do not click submit, you can enter and exit the assignment as many times as
necessary during the time period that it is available. Again, please note, you should only click
"submit" when you are completely finished with the assignment and ready to submit it for
grading.

Good luck!


This quiz was locked Feb 26 at 11:59pm.



Attempt History
Attempt Time Score Regraded
LATEST Attempt 1 1,794 minutes 75 out of 100 80 out of 100




 Correct answers are hidden.

Score for this quiz: 80 out of 100
Submitted Feb 21 at 10:28am
This attempt took 1,794 minutes.


Question 1 pts


In a linear regression problem, we are using “R-squared” to measure
goodness-of-fit. We add a feature (variable) in linear regression model
and retrain the same model.

https://gatech.instructure.com/courses/94184/quizzes/99397?module_item_id=558150 1/13

, 4/14/2020 Graded Homework #2: Data Analytics Business - MGT-6203-OAN




Which of the following option is true?


If R Squared increases, this variable is significant.


If R Squared decreases, this variable is not significant.



Individually R squared cannot tell about variable importance. We can’t say
anything about it right now.



None of these.




Incorrect
Question 2 pts


A correlation between age and health of a person found to be -1.09. On
the basis of this, you would tell the doctors that:


Age is a good predictor of health


Health is a good predictor of age


Age is a poor predictor of health


None of these




Question 3 pts


You work for a bank where you are trying to predict the probability of
default of a customer based on FICO score and annual income. Which of



https://gatech.instructure.com/courses/94184/quizzes/99397?module_item_id=558150 2/13

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