Which of the following statements is correct?

a. Multiple linear regression can be used to predict the value of continuous dependent variable for new observation.

b. Logistic regression can be used to classify a new observation into one of the specific classes.

c. Neither a. nor b.

d. Both a. and b.

Which of the following statement(s) is(are) correct?

a. The classification tree is used to generate class label for categorical output.

b. The regression tree is used to generate the numerical output for predication or estimation.

c. Both a. and b.

d. Neither a. nor b.

28. Which of the following statement(s) is(are) correct?

a. Each node in a classification tree is corresponding a dimension.

b. Each node with its associated value in a classification tree is used to partition the data set along its corresponding dimension.

c. Both a. and b.

d. Neither a. nor b.

29. Which of the following statement(s) is(are) correct?

a. Each node in a classification tree is corresponding a dimension or input variable (predictor).

b. Each node with its associated value in a classification tree is used to partition the data set along its corresponding dimension.

c. Both a. and b.

d. Neither a. nor b.

30. Which of the following statement(s) is(are) correct?

a. Each node with its associated value in a classification tree defines a linear function.

b. A classification tree consists of many leaner functions.

c. Both a. and b.

d. Neither a. nor b.

31. Which of the following statement(s) is(are) correct?

a. Each branch from the root to the leave node in a classification tree represents a classification rule.

b. Each branch from the root to the leave node in a classification tree is associated with a partitioned data set with a class label.

c. Both a. and b.

d. Neither a. nor b.

32. The difference between the multiple linear regression model and the neural network model is(are)

a. The neural network model uses hidden layers.

b. The neural network model uses activation function.

c. Both a. and b.

d. Neither a. nor b.

33. The difference between the logistic regression model and the neural network model is(are)

a. The neural network model uses hidden layers.

b. The neural network model uses activation function.

c. Both a. and b.

d. Neither a. nor b.

34. The difference between the statistical regression models and the neural network model is(are)

a. The neural network model uses hidden layers.

b. The regression models have no input layer.

c. The regression models have no output layer

d. All of a., b., and c.

35. Which of the following statement(s) is(are) correct?

a. The time series data must be partitioned randomly.

b. The cross-section data must be partitioned in time series sequence.

c. Either a. or b.

d. Neither a. nor b.

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