# NPTEL Data Science for Engineers Assignment 6 Answers 2022

NPTEL Data Science for Engineers Assignment 6 Answers 2022:- All the Answers provided below to help the students as a reference, You must submit your assignment at your own knowledge.

## 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 specializing 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.

## NPTEL Data Science for Engineers Assignment 6 Answers 2022 {July – Dec}

1. Choose the correct option that best describes the relation between the variables x and y in the given data

a. Randomly sampled
b. Negatively correlated
c. Positively correlated
d. None of the above

`Answer:- `

2. Identify the parameters β0β0 and β1β1 that fits the linear model β0+β1x using the following information: total sum of squares of X, SSXX=52.53, SSXY=52.01, mean of x,x¯=4.46,x,x¯=4.46, and mean of y,y¯=6.32

a. 1.9 and 0.99
b. 10.74 and 1.01
c. 4.42 and 1.01
d. None of the above

`Answer:- `

3. The model built from the data given below is Y=1.39x+6.09. Find the values for R2 and Adjusted R2.

`Answer:- `

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

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

`Answer:- `

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

`Answer:- `

7. 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?

`Answer:- `

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

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

a. True
b. False

`Answer:- `

9. If R2 is 0.6, SSR=200 and SST=500, then SSE is

`Answer:- `

## NPTEL Data Science for Engineers Assignment 6 Answers 2022 {Jan – June}

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

• Mean
• Variance
• Correlation coefficient
• Standard deviation

Q2. State whether the following statement is True or False
In linear regression, only the dependent variable has errors.

• True
• False

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

• SSR (residual sum-of-squares)
• SST (total sum-of-squares)
• SSE (sum-squared error)
• Slope

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

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

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

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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 of 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.