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Ch 15
Ch 15
12 terms
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Flashcards
12 cards
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Questions
12
Answers
1
Bayes' Theorem
helps update predicted probabilities of an event by incorporating new information
False
True
2
What is
overfitting
in predictive models?
When there is too little data
When a model memorizes the training data too closely
When the test data is inaccurate
When the model is too simple
3
What is the main goal of
predictive modeling
in people analytics?
To clean historical data
To forecast future outcomes
To build dashboards
To summarize past trends
4
Time series
is
actually
data collected at successive time intervals/ in time order
True
False
5
What is the purpose of
Regression analysis
?
To clean and store data
To display values in a graph
To examine relationships and predict outcomes
To eliminate all variables
6
What is
prior probability
?
a guess based on emotions
a baseline estimate before new data
final probability
last known value
7
Data science
includes coding and big data tools
True
False
8
Time series
is a list of random data points
True
False
9
Moving averages
are used for smoothing out short-term fluctuations
True
False
10
How does
correlation
differ from
causation
?
Correlation is a relationship between 2, causation directly causes change
Correlation always means causation
Causation is weaker than correlation
They are the same in statistics
11
What is
Backcasting?
Predicting
Guessing
Starting with a future goal and working backward
Forecasting with old tools
12
Why is
data split
into training and test sets?
To reduce file size
To balance variable importance
To test how well a model performs on new data
To make it more difficult
