Making Predictions: Extrapolation
Explore how to make predictions beyond the given data set using a line of best fit. Learn the concept and practical application of extrapolation.
Questions
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MultiChoice
What does 'extrapolation' mean in scatter plot analysis?
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MultiChoice
Data was collected for student ages 10 to 14. Using the model to predict height for age 25 is:
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MultiChoice
Why can extrapolation sometimes lead to unreliable predictions?
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MultiChoice
A model for a growing puppy's weight is y = 3x + 2 (x in months, data collected from 1 to 6 months). Why is predicting weight at 120 months unreliable?
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MultiChoice
Using y = -2x + 100 (where x is speed and y is fuel efficiency), predicting efficiency at x = 200 mph (when data was 20 to 60 mph) is an example of:
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MultiChoice
Data shows phone battery drain over 5 hours modeled by y = -15x + 100. Predicting battery percentage at x = 10 hours gives y = -50%. Why is this prediction unrealistic?
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MultiChoice
Given a line of best fit y = 5x + 20 based on x from 0 to 10. Predict y for x = 30.
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MultiChoice
Which of the following represents an extrapolation prediction?
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MultiChoice
A linear model y = 0.4x + 60 models runner performance for temperatures 50°F to 80°F. Predicting for 110°F is extrapolation because:
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MultiChoice
Given y = -3x + 80 for data x in [1, 10]. Predicting y when x = 20 gives:
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MultiChoice
Which prediction method requires more caution when making long-term decisions?
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MultiChoice
If a plant model y = 1.2x + 5 is based on data for weeks 1 to 4, extrapolating to week 50 yields y = 65 cm. Why might this be inaccurate?