Are you looking for the Answers to NPTEL Data Analytics with Python Assignment 7? This article will help you with the answer to the National Programme on Technology Enhanced Learning (NPTEL) Course “NPTEL Data Analytics with Python Assignment 7 ”. So read the complete article carefully.
What is Data Analytics with Python?
Data Analytics with Python is a fun-filled whirlwind tour of 30 hrs, covering everything you need to know to fall in love with the most sought-after skill of the 21st century. This course includes examples of analytics in a wide variety of industries, and we hope that students will learn how you can use analytics in their careers and life. One of the most important aspects of this course is that you, the student, are getting hands-on experience creating analytics models; we, the course team, urge you to participate in the discussion forums and to use all the tools available to you while you are in the course!
CRITERIA TO GET A CERTIFICATE
Average assignment score = 25% of the average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100
Final score = Average assignment score + Exam score
YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
Below you can find the answers for NPTEL Data Analytics with Python Assignment 7
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NPTEL Data Analytics with Python Assignment 7 Answers 2022:-
Q1. Which of the following is not an assumption for simple linear regression?
Q2. Which of the following is called Standard Error?
Q3. Which of the following is true about multiple regression model?
Q4. In a multiple regression model, the error term ɛ is assumed to
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Q5. For a multiple regression model with 2 independent variables, R.sq = 0.904 and adjusted R. sq = 0.88, determine the number of observations (n)
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Q6. If the R.sq value is small for a model with a large number of independent variables, the adjusted coefficient of determination _______________
Q7. Which one of the statements is true regarding residuals in regression analysis?
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Q8. In a simple linear regression model (one independent variable), if we change the input variable by 1 unit, how much will the output variable change?
Q9. To check whether a significant relationship exists between the dependent and set of all independent variables, _____ is used. It is the test for overall significance.
Q10. Which of the following evaluation metrics is used to evaluate a regression model?
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