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✅ Subject: Data Analytics with Python
📅 Week: 7
🎯 Session: NPTEL 2025
🔗 Course Link: Click Here
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Data Analytics with Python Week 7 NPTEL Assignment Answers 2024
1. The interval estimate of the mean value of y (dependent variable) for a given value of x is defined as?
- Prediction interval estimate
- Confidence interval estimate
- Average regression
- X vs Y correlation interval
Answer :- b
2. Which of the following is called Standard Error?
- T-statistic squared
- Square root of SSE
- Square root of SST
- Square root of MSE
Answer :- d
3. Which of the following is true about multiple regression model?
- It has only one independent variable
- It has more than one dependent variable
- It has more than one independent variable
- It has at least 2 dependent variable
Answer :- c
The Joy of Computing using Python Week 7 NPTEL Assignment Answers
- Have a mean of 1
- Have a variance of 0
- Have a standard deviation of 1
- Be normally distributed
Answer :- d
5. 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)
- 6
- 7
- 9
- 10
Answer :- d
6. If the R.sq value is small for a model with a large number of independent variables, the adjusted coefficient of determination ____________
- Must be positive
- Can be negative
- Is zero
- Can’t say
Answer :- b
7. Which one of the statements is true regarding residuals in regression analysis?
- Mean of residuals is always 0
- Mean of residuals is always < 0
- Mean of residuals is always > 0
- There is no such rule for residuals
Answer :- a
8. In a simple linear regression model (one independent variable), if we increase the input variable by 1 unit, how much will the output variable change?
- By 1
- No change
- By its slope
- None of these
Answer :- c
9. If linear regression model has train error = 0, then test error______________
- Is also 0
- Is non-zero
- Is always equal to train error
- Cannot comment on Test error
Answer :- d
10. Which of the following evaluation metrics is used to evaluate a model while modelling a continuous output variable?
- AUC-ROC
- Accuracy
- Logloss
- Mean-Squared-Error
Answer :- d
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