MGT 6203 Midterm Exam | Complete Study Guide: Data Analytics, Regression, Machine Learning & Time Series with Q&A and Rationales | 2026/2027

MGT 6203 Midterm Exam: Complete Study
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Guide – Data Analytics, Regression, Machine
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Learning & Time Series Q&A with = = = =




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Complete Q&A with Rationales for Exam = = = = = =




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SECTION A: DATA ANALYTICS & BUSINESS INTELLIGENCE
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(Questions 1-25) = =




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Question 1 = =




Which of the following best describes the purpose of data analytics i
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n business?
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A) To collect and store large volumes of raw data
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B) To transform raw data into actionable insights for decision
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making =




C) To replace human decision making entirely
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,Answer: =




B) To transform raw data into actionable insights for
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decision making = =




Rationale: Data analytics involves examining, cleaning, transformin
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g, and modeling data to discover useful information and support busi
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ness decision making . While data storage and security are importan
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t, the core purpose is generating actionable insights.
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Question 2 = =




Which type of analytics answers the question "What happened?"
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A) Descriptive analytics = =




B) Diagnostic analytics = =




C) Predictive analytics = =




D) Prescriptive analytics = =




Answer: A) Descriptive analytics = = = =




Rationale: Descriptive analytics summarizes historical data to unders
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tand what has occurred in the past . Diagnostic analytics answers "wh
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y," predictive answers "what will happen," and prescriptive answers
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"what should we do" .= = = = =




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Question 3 =




Which type of analytics answers the question "Why did it happen?"
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A) Descriptive analytics = =




B) Diagnostic analytics = =




C) Predictive analytics = =




D) Prescriptive analytics = =




Answer: B) Diagnostic analytics
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Rationale: Diagnostic analytics examines data to understand causal
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relationships and the root causes of past events . It goes beyond desc
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ribing what happened to explaining the underlying factors.
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Question 4 = =




Which type of analytics answers the question "What will happen?"
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A) Descriptive analytics = =




B) Diagnostic analytics = =




C) Predictive analytics = =




D) Prescriptive analytics = =

, Answer: =




C) Predictive analytics
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Rationale: Predictive analytics uses statistical models and machine le
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arning to forecast future outcomes based on historical data . This inclu
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des forecasting sales, predicting customer churn, and estimating risk.
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Question 5 = =




Which type of analytics answers the question "What should we do a
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bout it?"
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A) Descriptive analytics = =




B) Diagnostic analytics = =




C) Predictive analytics = =




D) Prescriptive analytics = =




Answer: D) Prescriptive analytics
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Rationale: Prescriptive analytics recommends actions to achieve de
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sired outcomes, often using optimization and simulation techniques . I
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t goes beyond prediction to suggest specific decisions.
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Question 6 =




Which of the following is an example of descriptive analytics?
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A) A sales dashboard showing last month's revenue by region
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