NPTEL Data Science for Engineers Assignment 6 Answers 2023 ! In this article we will discuss about the answers for Week 6 assignment of Data science for Engineers. Consider these answers as reference only. I am confident in providing these answers. Then Come with us until the last of page to know more about week 6 Assignment.

Also Read: Nptel data science week 5 assignment answers

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Nptel Data Science For Engineers Assignment 6 Answers 2023  

Last Date: 08-03-2023

You can find the answers for Data Science for Engineers Assignment 6 Answers 2023 below 

For the following set of questions 1, 2, 3, 4, 5 use the dataset bonds.txt. This dataset

contains 2 variables, Coupon rate and Bid price. 

You can watch this video at Week 6- Simple Linear Regression Model Building at 08:37

Q1. What is the relationship between the variables, Coupon rate and Bid price?

a. Coupon rate = 99.95 + 0.24 * Bid price

b. Bid price = 99.95 + 0.24 * Coupon rate

c. Bid price = 74.7865 + 3.066 * Coupon rate 

d. Coupon rate = 74.7865 + 3.066 * Bid price

Answer: [ C ]  Bid Price = 74.7865 + 3.066 * Coupon rate  

                  According to the Summary results, it is of the form y=b + b*x0

Q2. Choose the correct option that best describes the relation between the variables Coupon rate 

       and Bid price in the given data. 

a. Strong positive correlation

b. Weak positive correlation 

c. Strong negative correlation

d. Weak negative correlation 

Answer: [ A ]  Strong Positive Correlation.

Q3. What is the R-Squared value of the model obtained in Q1 ?

a. 0.2413

b. 0.12

c. 0.7516

d. 0.5

Answer: [ C ] 0.7516 

                In the above picture Multiple R^2 Value is known as R^2 Value.

Q4. What is the adjusted R-Squared value of the model obtained in Q1 ?

a. 0.22

b. 0.7441

c. 0.088

d. 0.5

Answer: [ B ] 0.7441 

                Similarily the adjusted r square value can be seen. 

Q5. Based on the model relationship obtained from Q1, what is the residual error obtained 

       while calculating the bid price of a bond with coupon rate of 3? 

a. 10.5155

b. -10.5155

c. 6.17

d. 0

Answer: [ A ]  10.5155 

                We can see in the picture there are 5 residuals have been given. 

Q6. State whether the following statement is True or False.

       Covariance is a better metric to analyze the association between two numerical variables

       than correlation. 

a. True

b. False

Answer: [ b ]  False

Q7. If R^2  is 0.6, SSR=200 and SST=500, then SSE is

a. 500

b. 200

c. 300

d. None of the above

Answer: [ 300 ] C

Q8. Linear Regression is an optimization problem where we attempt to minimize

a. SSR ( residual sum of squares )

b. SST ( total sum of squares )

c. SSE ( Sum Squared number )

d. slope

Answer: [ C ] 

Q9. The model built from the data given below is Y=0.2x+60. Find the values for R^2

       and Adjusted R^2.  

a. R^2  is 0.022 and Adjusted R^2  is −0.303. 

b. R^2  is 0.022 and Adjusted R^2  is −0.303

c. R^2  is 0.022 and Adjusted R^2  is −0.303

d. None of the above.

Answer: [ A ]  

Q10. Identify the parameters β0 and β1 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, 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: [ A ] 1.9 and 0.99

Also Read: Nptel data science week 5 assignment answers 

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