NPTEL Data Science For Engineers Week 6 Assignment Answers 2023

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NPTEL Data Science For Engineers Week 6 Assignment Answers 2023

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

  • Coupon rate = 99.95 + 0.24 * Bid price
  • Bid price = 99.95 + 0.24 * Coupon rate
  • Bid price = 74.7865 + 3.066 * Coupon rate
  • Coupon rate = 74.7865 + 3.066 * Bid price
Answer :- For Answer Click Here

2. Choose the correct option that best describes the relation between the variables Coupon rate and Bid price in the given data.

  • Strong positive correlation
  • Weak positive correlation
  • Strong negative correlation
  • Weak negative correlation
Answer :- 

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

  • 0.2413
  • 0.12
  • 0.7516
  • 0.5
Answer :- 

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

  • 0.22
  • 0.7441
  • 0.088
  • 0.5
Answer :- For Answer Click Here

5. 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?

  • 10.5155
  • -10.5155
  • 6.17
  • 0
Answer :- 

6. State whether the following statement is True or False.
Covariance is a better metric to analyze the association between two numerical variables than correlation.

  • True
  • False
Answer :- 

7. f R2 is 0.6, SSR=200 and SST=500, then SSE is

  • 500
  • 200
  • 300
  • None of the above
Answer :- 

8. 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
Answer :- 

9. The model built from the data given below is Y=0.2x+60 . Find the values for R2 and Adjusted R2 .

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  • R2 is 0.022 and Adjusted R2 is −0.303
  • R2 is 0.022 and Adjusted R2 is −0.0303
  • R2 is 0.022 and Adjusted R2 is 0.303
  • None of the above
Answer :- 

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 .

  • 1.9 and 0.99
  • 10.74 and 1.01
  • 4.42 and 1.01
  • None of the above
Answer :- For Answer Click Here
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