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Virginia SOL Mathematics Textbook

Grade 8 Workbook — Chapter 17: The Data Cycle and Scatterplots

SOL 8.PS.3 · Companion to Textbook Chapter 17

Each page below is one Canva page. Headings are sized for direct paste: page title as H1, section labels as H2. Figures referenced by filename live in ../figures/. Every numbered item is the same problem as in the textbook, so one answer key serves both. Item numbers run continuously from 1 to 112.


PAGE 1 — Chapter opener

Chapter 17 · The Data Cycle and Scatterplots

Standard 8.PS.3

In this chapter you will:

Words to know: data cycle · univariate data · bivariate data · ordered pair · independent variable · dependent variable · scatterplot · positive linear relationship · negative linear relationship · no relationship · lurking variable · line of best fit · slope · y-intercept · interpolation · extrapolation

Two limits from the standard: a data set has no more than 20 items, and relationships are described in words — positive linear, negative linear, or no relationship. The line of best fit is sketched, never computed.


PAGE 2 — The data cycle, with two variables

17.1 The Data Cycle with Two Variables

FIGURE: fig1-data-cycle-scatterplots.png (full width)

Fill in the blanks.

The four stages are: ____________ questions · ____________ or acquire data · organize and ____________ data · ____________ data and communicate results.

A data set is bivariate when ______ numbers are recorded for each item and kept ____________.

The independent variable goes on the ____________ axis. The dependent variable goes on the ____________ axis.

  1. Name the four stages of the data cycle in order.

    1. _______________ 2) _______________ 3) _______________ 4) _______________
  2. What makes a data set bivariate? _______________________________________________

  3. A class records only the height of each student. Univariate or bivariate? ______

    Why? _______________________________________________

  4. Which stage are you in when you plot each ordered pair on a coordinate grid?


  5. In a study of hours practiced and free throws made, which quantity goes on the horizontal axis? _______________ That variable is called the ____________ variable.

  6. Correct the statement. "The data cycle ends as soon as the scatterplot is drawn."



PAGE 3 — Stages and variables

Naming Stages and Variables

  1. Name the stage for each action.
Action Stage
a) Measuring the length and the width of each of 16 leaves
b) Writing "Is there a relationship between shoe length and height?"
c) Plotting 16 ordered pairs on a coordinate grid
d) Telling the class that longer leaves tend to be wider
  1. Put these in order: organize and represent data; analyze data and communicate results; formulate questions; collect or acquire data.

    1. _______________ 2) _______________ 3) _______________ 4) _______________
  2. Univariate or bivariate?

Data described U or B
a) Minutes each of 20 students exercised yesterday
b) Age and resting heart rate of each of 20 people
c) Mass of each of 12 backpacks
d) Mass of each of 12 backpacks and the number of books in each
  1. Name the independent and dependent variable.
Pair of quantities Independent Dependent
a) Hours of practice, free throws made
b) Age of a used car, its price
c) Days since planting, plant height
  1. Write one question about your class that needs bivariate data.


    Two quantities recorded per student: _______________ and _______________


PAGE 4 — Apply and reason

Why the Pairing Matters

  1. Apply it. The school nurse wants to know whether eighth graders who sleep longer have lower resting heart rates. One sentence per stage.

    Formulate: _______________________________________________

    Collect: _______________________________________________

    Organize: _______________________________________________

    Analyze: _______________________________________________

  2. Reasoning. Explain why a histogram cannot answer "Do students who study more score higher?" even if you have every study time and every score.




PAGE 5 — Exit ticket 17.1

Exit Ticket · Lesson 17.1

Name: ________________________ Date: ____________

  1. The four stages, in order: _______________________________________________

  2. One bivariate data set: _______________ One univariate data set: _______________

  3. Days since planting and plant height: which goes on the vertical axis? _______________

    It is called the ____________ variable.

  4. Why must the two measurements in a bivariate set stay paired?



PAGE 6 — Asking a bivariate question

17.2 Asking a Bivariate Question

A question that needs a scatterplot has this shape:

Is there a relationship between \underline{\hspace{4cm}} and \underline{\hspace{4cm}}?

Both blanks must hold a ____________ quantity.

A sharp question names four things:

  1. the ____________ 2) the first quantity and its ____________ 3) the second quantity and its ____________ 4) the ____________ frame
  1. Fill in the shape of a scatterplot question: "Is there a relationship between ______ and ______?"

  2. Why must both quantities be numerical? _______________________________________________

  3. Name the four things a sharp bivariate question states.


  4. Rewrite "Does studying help?" as a question a scatterplot could answer.


  5. A class collects 22 pairs. What does the standard say? _______________________________________________

  6. A student has a study time but no quiz score. Can that student be plotted? ______

    Why? _______________________________________________


PAGE 7 — Questions, methods, and sources

Collecting Paired Data

  1. Could a scatterplot answer it? If not, why not?
Question Yes / No Why not
a) How many hours did each eighth grader sleep?
b) Hours of sleep and minutes of homework?
c) Favorite subject and quiz score?
d) Age of a used car and its price?
  1. Sharpen each question. Name a population, both quantities with units, and a time frame.

    a) Are tall people faster? _______________________________________________

    b) Does cold weather sell hot chocolate? _______________________________________________

  2. Name the method and the two numbers recorded per item.

Investigation Method Two numbers
a) Do taller students have longer arm spans?
b) Do colder days bring more coats?
c) Do students who sleep more do less homework?
d) Does a steeper ramp make a car roll farther?

PAGE 8 — Acquired data and record keeping

When You Did Not Collect It Yourself

  1. A class wants rainfall and cloudy days for 15 U.S. cities.

    Why acquire rather than collect? _______________________________________________

    Two questions to ask about the data: _______________________________________________

  2. A table lists last year's average temperature for each month. Another lists the store's total sales for each of the last five years. Why can these not be combined into a scatterplot?


  3. Apply it. Does more practice mean more free throws made?

    Sharpened question: _______________________________________________

    Two numbers per student: _______________ and _______________

    Method: _______________ Why it fits: _______________________________________________

  4. Reasoning. A student writes all the sleep hours on one page and all the homework minutes on another, in the order people answered.

    Why can the data no longer be plotted? _______________________________________________

    How should it have been recorded? _______________________________________________


PAGE 9 — Exit ticket 17.2

Exit Ticket · Lesson 17.2

Name: ________________________ Date: ____________

  1. A scatterplot question about your class: _______________________________________________

  2. Its two quantities, with units: _______________ and _______________

  3. Why can "favorite subject" not be one of the two quantities?


  4. Largest number of data items allowed in this chapter: ______


PAGE 10 — Plotting a pair

17.3 Building a Scatterplot

FIGURE: fig2-plotting-a-pair.png (half width)

Fill in the blanks. To plot (3,81)(3, 81), go across to x=x = ______, then up to y=y = ______, and mark the point. One point on a scatterplot represents ____________________.

FIGURE: fig3-study-time-scatterplot.png (half width)

  1. What does one point on a scatterplot represent? _______________________________________________

  2. A student read 4545 minutes and scored 1818 out of 2020. Ordered pair: ( ______ , ______ )

  3. xx runs from 11 to 1010; yy runs from 7070 to 190190.

    Horizontal scale: from ______ to ______ in steps of ______

    Vertical scale: from ______ to ______ in steps of ______

  4. Two students both practiced 33 hours. How are their points drawn?


  5. The two labels every scatterplot's axes must carry: _______________ and _______________

  6. A data set has 20 rows and 4 rows are missing the second measurement. Points plotted: ______


PAGE 11 — Plot the hot chocolate data

Cups Sold and Temperature

For each of 10 school days, the noon temperature and the cups of hot chocolate sold.

Temperature (°F) 20 25 30 35 40 45 50 55 60 65
Cups sold 116 92 94 75 77 54 53 36 35 18
  1. Write the 10 ordered pairs, temperature first.

    ( ____ , ____ ) ( ____ , ____ ) ( ____ , ____ ) ( ____ , ____ ) ( ____ , ____ )

    ( ____ , ____ ) ( ____ , ____ ) ( ____ , ____ ) ( ____ , ____ ) ( ____ , ____ )

  2. Horizontal scale: from ______ to ______ in steps of ______ Label: _______________

    Vertical scale: from ______ to ______ in steps of ______ Label: _______________

  3. Draw the scatterplot. Use the right-hand grid below.

FIGURE: fig13-blank-grids.png (full width — label the axes on the grid you use)

  1. Number of items in this data set: ______

    Why it satisfies the limit: _______________________________________________


PAGE 12 — Scales, axes, and stacks

Reading a Scatterplot Carefully

  1. A student puts quiz score on the horizontal axis and hours studied on the vertical axis. Is the graph wrong? ______

    What changes: _______________________________________________

    What does not change: _______________________________________________

  2. Why may the score axis start at 5050 instead of 00?


    What must the reader be shown? _______________________________________________

  3. Apply it. Shoe length and height for you and 15 classmates.

    Horizontal axis: _______________ Vertical axis: _______________ Why: _______________

    Sketch the table you would build:

    TABLE SPACE: 3 columns (student, shoe length in cm, height in cm), 6 rows, full width

  4. Reasoning. "Two points that share an xx-value must be an error, because a graph can only have one yy for each xx."

    Why a scatterplot need not be a function: _______________________________________________

    What the vertical stack means: _______________________________________________


PAGE 13 — Exit ticket 17.3

Exit Ticket · Lesson 17.3

Name: ________________________ Date: ____________

  1. Independent value 88, dependent value 9595. Ordered pair: ( ______ , ______ )

  2. One reason the two axes usually need different scales: _______________________________________________

  3. A spreadsheet chart puts the dependent variable on the horizontal axis. What went wrong?


  4. Why does a scatterplot keep every individual pair instead of grouping the data?



PAGE 14 — Three relationships

17.4 Positive, Negative, or No Relationship

FIGURE: fig4-three-relationships.png (full width)

Fill in the blanks.

As xx increases, yy tends to increase → ____________ linear relationship.

As xx increases, yy tends to decrease → ____________ linear relationship.

As xx increases, yy shows no consistent direction → ____________ relationship.

FIGURE: fig5-hot-chocolate-scatterplot.png (half width)

FIGURE: fig6-no-relationship-scatterplot.png (half width)

  1. The three descriptions used in this chapter: _______________, _______________, _______________

  2. Points trend downward from upper left to lower right: _______________________________________________

  3. No consistent direction: _______________________________________________

  4. The three parts of a good justification:

    1. _______________ 2) _______________ 3) _______________
  5. Why does one pair that runs against the trend not change the relationship's name?


  6. "Correlation is not causation" means: _______________________________________________


PAGE 15 — Classify three plots

Name It and Justify It

FIGURE: fig8-practice-scatterplots.png (full width)

  1. Plot A relationship: _______________

    Evidence — two points: ( ____ , ____ ) and ( ____ , ____ )

  2. Plot B relationship: _______________ Justification: _______________________________________________

  3. Plot C relationship: _______________

    Evidence — two points: ( ____ , ____ ) and ( ____ , ____ )

  4. Plot C in context, one sentence with units: _______________________________________________

  5. Predict the relationship.

Pair of quantities Prediction Reason
a) Hours of practice, free throws made
b) Age of a used car, its price
c) Height, house number
d) Outside temperature, cups of hot chocolate sold
  1. Improve it. Rewrite "It kind of goes down" so it names the relationship, cites evidence, and speaks in context.



PAGE 16 — Correlation is not causation

Two Things Rising Together

FIGURE: fig7-correlation-not-causation.png (full width)

  1. Apply it. Cones sold and sunburns both rise across ten summer days.

    Relationship: _______________

    Why the shop should not conclude ice cream causes sunburns: _______________________________________________

    Lurking variable: _______________

  2. Find the error. "The plot of hours studied and quiz score has no relationship, because one student studied 22 hours and beat a student who studied 33 hours."

    Error: _______________________________________________

    Correct description with justification: _______________________________________________

  3. Reasoning. Sleep hours and reaction time show a negative linear relationship. Give three explanations.

    Sleep causes it: _______________________________________________

    The causation runs the other way: _______________________________________________

    A lurking variable: _______________________________________________


PAGE 17 — Exit ticket 17.4

Exit Ticket · Lesson 17.4

Name: ________________________ Date: ____________

  1. Points trend upward from lower left to upper right: _______________________________________________

  2. Points scatter with no direction. What do you report? _______________

    Is the investigation a failure? ______ Why? _______________________________________________

  3. One sentence justifying the temperature and cups relationship, citing two points:


  4. Why can a scatterplot alone not prove causation? _______________________________________________


PAGE 18 — The line of best fit

17.5 Sketching the Line of Best Fit

FIGURE: fig9-line-of-best-fit.png (full width)

Four tests of a good sketch.

  1. It follows the ____________ of the trend.

  2. It runs through the ____________ of the cloud, with roughly as many points ____________ it as ____________ it.

  3. It stays ____________ to the points overall.

  4. It is a single ____________ line, not a curve and not a set of segments.

FIGURE: fig10-good-and-poor-fit-lines.png (full width)

The line of best fit can be written y=mx+by = mx + b. The slope mm tells you ____________________. The y-intercept bb is the value at x=x = ______.

  1. What does a line of best fit summarize? _______________________________________________

  2. The two most important tests: _______________________________________________

  3. In y=mx+by = mx + b, which number tells the direction of the relationship? ______

  4. For y=2x+150y = -2x + 150, the slope 2-2 means: _______________________________________________

  5. Use y=6x+60y = 6x + 60 at x=4x = 4: y=6()+60=y = 6(\underline{\hspace{1cm}}) + 60 = \underline{\hspace{2cm}}

  6. Should you sketch a line on a plot with no relationship? ______ Why? _______________


PAGE 19 — Sketch and estimate

Sketch the Line, Then Read It

Sketch a line of best fit on the study-time grid below, then answer items 78–79. Plot the 12 pairs first: (0,63)(0, 63), (0,57)(0, 57), (1,68)(1, 68), (1,62)(1, 62), (2,77)(2, 77), (2,70)(2, 70), (3,81)(3, 81), (3,75)(3, 75), (4,88)(4, 88), (4,80)(4, 80), (5,92)(5, 92), (5,87)(5, 87).

FIGURE: fig13-blank-grids.png (full width — use the left-hand grid; x: hours studied, y: quiz score)

Points above my line: ______ Points below my line: ______

  1. A line on an upward cloud of 1212 points has 1111 below it and 11 above.

    What is wrong: _______________________________________________

    Fix: _______________________________________________

  2. Using y=6x+60y = 6x + 60:

    a) At x=1x = 1: y=y = \underline{\hspace{2cm}}

    b) At x=3x = 3: y=y = \underline{\hspace{2cm}}

    c) Actual scores at 33 hours were 8181 and 7575. Why does neither equal your estimate?



PAGE 20 — Estimating honestly

Interpolation and Extrapolation

FIGURE: fig11-prediction-from-a-sketched-line.png (full width)

  1. Using y=2x+150y = -2x + 150:

    a) At x=30x = 30: y=y = \underline{\hspace{2cm}}

    b) At x=60x = 60: y=y = \underline{\hspace{2cm}}

    c) Actual sales were 9494 cups at 3030°F and 3535 cups at 6060°F. Compare: _______________________________________________

  2. The study data run from 00 to 55 hours. Use y=6x+60y = 6x + 60 at x=10x = 10: y=y = \underline{\hspace{2cm}}

    Why the estimate should not be trusted (mention the maximum possible score):


  3. Interpolation is ____________________. Extrapolation is ____________________.

    More trustworthy: _______________ Why: _______________________________________________

  4. Two students sketch slightly different lines and their estimates at x=3x = 3 differ by 22 points. Is one wrong? ______

    Explain: _______________________________________________


PAGE 21 — Apply, reason, and repair

Using the Line Without Overclaiming

  1. Apply it. A bean plant, measured every two days for 20 days, has sketched line y=x+1y = x + 1 (xx = days, yy = height in cm).

    Height on day 1515: ______ cm

    The slope means: _______________________________________________

    Why not day 200200: _______________________________________________

  2. Reasoning. When is a y-intercept meaningful? Use y=6x+60y = 6x + 60 and y=2x+150y = -2x + 150.

    y=6x+60y = 6x + 60: _______________________________________________

    y=2x+150y = -2x + 150: _______________________________________________

  3. Find the error. "This proves that studying 55 hours will get you a 9090."

    Problem 1: _______________________________________________

    Problem 2: _______________________________________________

    Rewrite: _______________________________________________


PAGE 22 — Exit ticket 17.5

Exit Ticket · Lesson 17.5

Name: ________________________ Date: ____________

  1. The test that involves counting points above and below the line:


  2. y=2x+150y = -2x + 150 at x=25x = 25: y=y = \underline{\hspace{2cm}}

  3. Why report an estimate with the word "about"? _______________________________________________

  4. The data run from x=0x = 0 to x=5x = 5. Why is an estimate at x=12x = 12 unreliable?



PAGE 23 — Review, Parts A and B

Chapter 17 Review · Questions and Data

Words to know: data cycle · univariate · bivariate · ordered pair · independent variable · dependent variable · scatterplot · positive linear · negative linear · no relationship · lurking variable · line of best fit · slope · y-intercept · interpolation · extrapolation

  1. Could a scatterplot answer it?
Question Yes / No Why not
a) Minutes each eighth grader exercised yesterday
b) Minutes of exercise and resting heart rate
c) Favorite sport and minutes of exercise
d) Age of a used car and its price
  1. Sharpen "Do bigger backpacks weigh more?"


  2. Your own bivariate question: _______________________________________________

    Horizontal axis: _______________ Vertical axis: _______________ Why: _______________

  3. Method and the two numbers recorded per item.

Investigation Method Two numbers
a) Taller students, longer arm spans
b) Warmer days, fewer cups sold
c) More sleep, fewer homework minutes
d) Steeper ramp, farther roll
  1. A class collects paired values from 24 students. Problem: _______________ Fix: _______________

  2. 15 students give study hours; 2 miss the quiz. Points plotted: ______

    Why the 2 unmatched times cannot be paired with someone else's score: _______________________________________________


PAGE 24 — Review, Part C

Building the Plot

For each of 8 students: weeks of free-throw practice and free throws made out of 20.

Weeks of practice 1 2 3 4 5 6 7 8
Free throws made 4 6 5 9 8 11 12 14
  1. The 8 ordered pairs:

    ( ____ , ____ ) ( ____ , ____ ) ( ____ , ____ ) ( ____ , ____ )

    ( ____ , ____ ) ( ____ , ____ ) ( ____ , ____ ) ( ____ , ____ )

  2. Horizontal scale: from ______ to ______ in steps of ______ Label: _______________

    Vertical scale: from ______ to ______ in steps of ______ Label: _______________

  3. Draw the scatterplot.

    GRID SPACE: 4.5 in square, gridlines every 0.25 in, axes drawn and unlabeled

  4. Why does the week-33 point sit below the week-22 point, and why is the table not wrong?



PAGE 25 — Review, Parts D and E

Describing and Justifying

FIGURE: fig12-review-scatterplot-set.png (full width)

  1. Plot D relationship: _______________

  2. Plot E relationship: _______________

  3. Height and house number: _______________ Reasoning: _______________________________________________

  4. Points show no consistent direction. Report: _______________

    Should a line of best fit be drawn? ______ Why? _______________

  5. Justify item 101. Two points from Plot D: ( ____ , ____ ) and ( ____ , ____ )

    In context: _______________________________________________

  6. Justify item 102. Two points from Plot E: ( ____ , ____ ) and ( ____ , ____ )

    In context: _______________________________________________

  7. Rewrite "The plot proves that getting older makes a car cheaper."

    Supported version: _______________________________________________

    What causation would require: _______________________________________________

  8. Reasoning. Cones sold and sunburns rise together.

    Relationship: _______________ Lurking variable: _______________

    Why neither causes the other: _______________________________________________


PAGE 26 — Review, Parts F and G

The Line, and the Whole Cycle

  1. The four tests of a well-sketched line of best fit.





  2. Plot D's line is y=13x+200y = -13x + 200 (xx = years, yy = value in hundreds of dollars).

    a) At x=5x = 5: y=y = \underline{\hspace{2cm}} hundred dollars

    b) The slope 13-13 means: _______________________________________________

    c) Why not a 3030-year-old car: _______________________________________________

  3. Plot E's line is y=x+1y = x + 1 (xx = days, yy = height in cm).

    a) At x=15x = 15: y=y = \underline{\hspace{2cm}} cm

    b) The slope 11 means: _______________________________________________

    c) Data run from day 22 to day 2020. Interpolation or extrapolation? _______________

  4. All four stages for "Is there a relationship between hours of sleep last night and minutes spent on homework last night?"

    Formulate: _______________________________________________

    Collect: _______________________________________________

    Organize: _______________________________________________

    Analyze: _______________________________________________

    Graph you would draw: _______________