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9.04 Quadratic regression

Adaptive
Worksheet

Interactive practice questions

The scatter diagram shows the number of fish in pond as a function of time.

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A scatter plot is depicted with a vertical y-axis and a horizontal x-axis, both unlabeled except for the notations 'y' and 'x' at their respective ends. There are eight distinct black dots scattered across the plot, with coordinates at $\left(1,8\right)$(1,8), $\left(2,\frac{25}{6}\right)$(2,256), $\left(3,\frac{4}{3}\right)$(3,43), $\left(4,\frac{4}{5}\right)$(4,45), $\left(5,\frac{4}{3}\right)$(5,43), $\left(6,\frac{25}{6}\right)$(6,256), and $\left(7,8\right)$(7,8). The coordinates are not explicitly shown in the image.

a

Which type of model would be appropriate for this data?

Linear

A

Quadratic

B
b

Will the coefficient of $x^2$x2 in the quadratic model be positive or negative?

Positive

A

Negative

B
Easy
< 1min

The scatter diagram shows the average fuel economy of a car as a function of speed.

Easy
< 1min

The scatter diagram shows the concentration of a medication in a patient's bloodstream as a function of time.

Easy
< 1min

A high school physics class launched a toy rocket and recorded its height over time. Their tracking software produced the following results:

Easy
1min
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Outcomes

A.ST.1

The student will apply the data cycle (formulate questions; collect or acquire data; organize and represent data; and analyze data and communicate results) with a focus on representing bivariate data in scatterplots and determining the curve of best fit using linear and quadratic functions.

A.ST.1a

Formulate investigative questions that require the collection or acquisition of bivariate data.

A.ST.1b

Determine what variables could be used to explain a given contextual problem or situation or answer investigative questions.

A.ST.1c

Determine an appropriate method to collect a representative sample, which could include a simple random sample, to answer an investigative question.

A.ST.1d

Given a table of ordered pairs or a scatter plot representing no more than 30 data points, use available technology to determine whether a linear or quadratic function would represent the relationship, and if so, determine the equation of the curve of best fit.

A.ST.1e

Use linear and quadratic regression methods available through technology to write a linear or quadratic function that represents the data where appropriate and describe the strengths and weaknesses of the model.

A.ST.1h

Analyze relationships between two quantitative variables revealed in a scatterplot.

A.ST.1i

Make conclusions based on the analysis of a set of bivariate data and communicate the results.

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