NPTEL Data Science for Engineers Assignment 6 Answers 2022

Are you looking for the Answers to NPTEL Data Science for Engineers Assignment 6? This article will help you with the answer to the National Programme on Technology Enhanced Learning (NPTEL) Course NPTEL Data Science for Engineers Assignment 6

What is Data Science for Engineers?

Data Science for Engineers is a fun-filled course where Domain Certification helps learners to gain expertise in a specific Area/Domain. This can be helpful for learners who wish to work in a particular area as part of their job or research or for those appearing for some competitive exam or becoming job-ready or specialising in an area of study.

Every domain will comprise Core courses and Elective courses. Once a learner completes the requisite courses per the mentioned criteria, you will receive a Domain Certificate showcasing your scores and the domain of expertise.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of the average of best 6 assignments out of the total 8 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 Science for Engineers Assignment 6

NPTEL Data Science for Engineers Assignment 6 Answers:-

Q1.Which of the following quantities can be used to make a preliminary check on the association between 2 variables?

Q2. State whether the following statement is True or False

In linear regression, only the dependent variable has errors.

Q3. Linear Regression is an optimization problem where we attempt to minimize

Q4. When a linear regression model is obtained without an intercept, the resultant β0

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Q5. What is the relationship between the variables height and weight?

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Q6. Which of the following components are significant in determining the weight of a woman?

Q7. What is the R-Squared value of the model obtained in Q5?

Q8. Based on the model relationship obtained from Q5, what is the residual error obtained while calculating the weight of a woman with height 69 cms?

Q9.Which of the following quantities cannot be used to measure the goodness of fit of a linear regression model?

Q10. State whether the following statement is True or False.

Covariance is a better metric to analyze the association between two variables than correlation.