NPTEL Data Mining Week 8 Assignment Answers 2025
1. Regression is used in:
A. predictive data mining
B. exploratory data mining
C. descriptive data mining
D. explanative data mining
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2. The output of a regression algorithm is usually a:
A. real variable
B. integer variable
C. character variable
D. string variable
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3. Regression finds out the model parameters which produces the least square error between –
A. input value and output value
B. input value and target value
C. output value and target value
D. model parameters and output value
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4.
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5. The linear regression model y = a0 + a1xis applied to the data in the table shown below. What is the value of the sum squared error function S(a0, a1), when a0 = 1, a1 = 2?
A. 0.00
B. 0.25
C. 0.50
D. 0.51
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6. The linear regression model y = a0 + a1x is to be fitted to the data in the table shown below. What is the optimal regression model obtained by minimizing sum squared error?
A. y = 1.01 –2.10x
B. y = 1.01 +2.10x
C. y = 1.01 – 0.98x
D. y = 1.01 + 0.98x
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7. The linear regression model y = a0 + a1x1 + a2x2 + … + apxp is to be fitted to a set of N training data points having p attributes each. Let X be N x (p+1) vectors of input values (augmented by 1’s), Y be N x 1 vector of target values, and q be (p+1) x 1 vector of parameter values (a0, a1, a2, …, ap). If the sum squared error is minimized for obtaining the optimal regression model, which of the following equation holds?
A. XTX = Xy
B. Xq = XTy
C. XTXq = y
D. XTXq = XTy
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8. Accuracy of a linear regression model usually has?
A. low bias and low variance
B. low bias but high variance
C. high bias but low variance
D. high bias and high variance
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9. A time series prediction problem is often solved using?
A. Multivariate regression
B. Autoregression
C. Logistic regression
D. Sinusoidal regression
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10. In principal component analysis, the projected lower dimensional space corresponds to –
A. subset of the original co-ordinate axis
B. eigenvectors of the data covariance matrix
C. eigenvectors of the data distance matrix
D. orthogonal vectors to the original co-ordinate axis
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