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S.ID.B.6a, 6b, and 6c - Represent and Describe Two Quantitative Variables on a Scatterplot
S.ID.B.6a, 6b, and 6c - Represent and Describe Two Quantitative Variables on a Scatterplot
S.ID.B.6a, 6b, and 6c - Represent and Describe Two Quantitative Variables on a Scatterplot
S.ID.B.6a, 6b, and 6c - Represent and Describe Two Quantitative Variables on a Scatterplot

11 Questions

CCSS.Math.Content.HSS.ID.B.6a
CCSS.Math.Content.HSS.ID.B.6b
CCSS.Math.Content.HSS.ID.B.6c
STIM.A.Algebraic
STIM.B.Visual Analysis
STIM.C.Recognize Operations
STIM.D.Claims
STIM.E.Explain Steps/Thinking
STIM.H.Convert Words to Expressions, Equations, or Inequalities
STIM.I.Comparing
STIM.J.Categorizing
STIM.K.Know and Apply a Formula
STIM.L.Convert Visuals to Expressions, Equations, or Inequalities
STIM.M.Conditional
STIM.O.Situational Analysis
STIM.P.Pattern
1

S.ID.B.6a, 6b, and 6c - Represent and Describe Two Quantitative Variables on a Scatterplot

2

If a residual at some x-value is large and positive, what does that mean?

3

A data set is represented in the table below.

4

A line of regression indicates that the predicted average price of a smartphone model was $999 in 2019 and increases by $120 per year.

5

The scatterplot shows Temperature (°F) vs Total visitors per day at a beach/boardwalk (days with highs over 70 °F).

6

For each statement, select Always, Sometimes, or Never.

7

The scatterplot below shows the relationship between exercise (minutes per week) and resting heart rate (beats per minute).

8

Select all statements that refute the claim.

9

A cross-country team is analyzing a runner’s training data. Let t be time in minutes and D the distance in kilometers from the starting line.

10

A linear model was fit to data relating Time (min) to Distance (km) for a jog. The scatter plot shows times from 10 to 120 minutes.

11

A scatter plot shows Study Time (hours) vs Quiz Score (%) for students who studied between 0 and 6 hours. A linear model fitted to these data is:

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