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JNTU B.Tech IV PREDICTIVE ANALYTICS Previous Question Paper (July - 2019 - R15)

B.Tech | IV | II | R15 | July - 2019

Answer PaperPaper Code: 128GMMaximum Marks: 75Time: 3 hours

Part A is compulsory which carries 25 marks. Answer all questions in Part A. Part B consists of 5 Units. Answer any one full question from each unit. Each question carries 10 marks and may have a, b, c as sub questions.

Part A

125 marks
a

Why do we need Analytics.

2 marks

Answer

Analytics is needed to transform raw data into actionable insights, enabling organizations to make informed, evidence-based decisions, optimize operational efficiency, and predict future trends to gain a competitive advantage.

b

What is the importance of regression in analytics?

3 marks

Answer

Regression is fundamental in analytics for modeling the relationship between a dependent variable and one or more independent variables. It is used to quantify the strength of relationships, predict continuous numerical outcomes, and identify which factors have the most significant impact on a target metric.

c

Where is Logistic Regression concepts applied?

2 marks

Answer

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d

Why do we use data visualization?

3 marks

Answer

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e

Explain what is overfitting.

2 marks

Answer

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f

How is segmentation different from regression?

3 marks

Answer

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g

What is Time Series?

2 marks

Answer

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h

Mention the uses of Forecast error.

3 marks

Answer

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i

What do you mean by version control?

2 marks

Answer

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j

List the reasons why document scope is usually used.

3 marks

Answer

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Part B

210 marks
a

Give an overview of Data Modeling Techniques.

5 marks

Answer

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b

List and explain various steps involved in Analytics.

5 marks

Answer

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OR
310 marks
a

Explain the need for Business modeling.

5 marks

Answer

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b

Discuss about the BLUE property of Regression.

5 marks

Answer

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410 marks
a

Discuss about Multinomial Logistic Regression.

5 marks

Answer

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b

Explain the role of confusion matrix in visualization of the performance of an algorithm.

5 marks

Answer

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OR
510 marks
a

Differentiate between OLS & MLE.

5 marks

Answer

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b

Illustrate the interpretation of the model through maximum likelihood estimates.

5 marks

Answer

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610 marks
a

Describe the tools used to make Decision Tree.

5 marks

Answer

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b

What is the Measure of Impurity? Explain.

5 marks

Answer

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OR
710 marks
a

Give a note on CHI-squared Automatic Interaction Detector.

5 marks

Answer

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b

List and define different methods used by the organizations to review skills and knowledge.

5 marks

Answer

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8

Explain various steps involved in ETL. List any five commercially available ETL tools.

10 marks

Answer

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OR
910 marks
a

What are the Measures of forecast Accuracy? Explain.

5 marks

Answer

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b

Give a note on ARIMA.

5 marks

Answer

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1010 marks
a

Write the steps involved in writing your case study.

5 marks

Answer

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b

Give the sample Format of Documents.

5 marks

Answer

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OR
1110 marks
a

How would you insert an image from the internet into a Word document or PowerPoint?

5 marks

Answer

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b

Write notes on the importance of Peer review and feedback.

5 marks

Answer

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