Predictive & Prescriptive

Predictive & Prescriptive

Professional Development

8 Qs

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Predictive & Prescriptive

Predictive & Prescriptive

Assessment

Quiz

Professional Development

Professional Development

Practice Problem

Hard

Created by

Keith Derr

Used 1+ times

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8 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main goal of predictive analytics in sports?

To suggest the best course of action

To forecast future outcomes based on data

To track historical performance

To replace coaches with AI

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the CRISP-DM model, which phase involves understanding the problem before working with data?

Data Understanding

Business Understanding

Data Preparation

Modeling

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a common use case for predictive analytics in sports?

Player performance forecasting

Injury risk modeling

Game strategy recommendations

Win probability estimation

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does prescriptive analytics differ from predictive analytics?

It forecasts future events

It provides actionable recommendations based on predictions

It only uses past data without making forecasts

It does not involve machine learning

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an example of prescriptive analytics in sports?

Predicting the likelihood of an athlete’s injury

Suggesting whether an NBA coach should rest a player

Estimating the win probability of a football team

Calculating an athlete’s historical performance trends

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In CRISP-DM, what step comes after “Data Preparation”?

Business Understanding

Modeling

Deployment

Evaluation

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which technology is commonly used for predictive modeling in sports analytics?

Excel

Python (Scikit-learn, TensorFlow)

Microsoft Word

Google Docs

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