Back to Exercise: Fit a function to data

Exercises: Fit a Function to Data

Work through each section in order. When choosing a model family, justify from BOTH the scatter plot's form and the context's mechanism. When using a fitted function, substitute or solve carefully and state every answer with units. Remember: a fitted model captures the overall trend — it need not pass through every point — and predictions far outside the data range (extrapolation) are not as trustworthy as predictions inside it.

Grade 10·23 problems·~35 min·Common Core Math - HS Statistics and Probability·standard·hss-id-b-6a
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A

Warm-Up: Function Families and Evaluation

These problems review skills you already have from Algebra 1.

1.

A regression on real data produces the equation y=2.1x+15y = 2.1x + 15, and it tracks the scatter plot's trend closely. Which statement best describes what this fitted function is?

2.

Which function family produces a graph that rises to a turning point and then falls (a U-shape or upside-down U)?

3.

A context supplies the linear function y=0.10x+20y = 0.10x + 20 for the monthly cost yy (in dollars) of a phone plan after xx minutes of calls. Evaluate the function at x=200x = 200 minutes. Give the cost in dollars.

B

Fluency Practice: Choosing the Model Family

For each scatter plot, decide which model family fits its form.

A scatter plot whose points rise in a roughly straight line from lower left to upper right.
1.

The scatter plot below shows data that increases by roughly the same amount for each equal step in xx — the points fall close to a straight line. Which model family best fits this data?

A scatter plot whose points rise to a peak near the middle and then fall, forming an upside-down U.
2.

The scatter plot below shows a ball's height versus time after a throw: the points rise to a peak and then fall back down. Which model family best fits this data?

A scatter plot whose points stay low at first then curve steeply upward to the right.
3.

The scatter plot below shows a bacteria count versus hours: the points stay low at first, then curve steeply upward, roughly multiplying each hour. Which model family best fits this data?

4.

A bacteria population is modeled by the exponential function y=502xy = 50 \cdot 2^{x}, where xx is the number of hours and yy is the count. Predict the count after x=3x = 3 hours.

5.

Using the fitted phone-plan function y=0.10x+20y = 0.10x + 20 (cost yy in dollars for xx minutes), how many minutes xx give a bill of y=35y = 35 dollars? Solve for xx.

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