Two Variable Statistics Practice
Quiz
•
Mathematics
•
8th - 9th Grade
•
Practice Problem
•
Medium
+7
Standards-aligned
Erica LufkinRdMS
Used 142+ times
FREE Resource
About this resource
This quiz comprehensively covers two-variable statistics, specifically focusing on scatter plots, correlation, and linear regression analysis. The material is appropriate for 8th and 9th grade students who are developing their understanding of bivariate data relationships. Students need to master several interconnected concepts to succeed with these problems: identifying and classifying correlation types (positive, negative, or no correlation), interpreting scatter plots to determine linear versus nonlinear associations, estimating and interpreting correlation coefficients within the -1 to 1 range, writing and applying linear regression equations, analyzing residual plots to assess model appropriateness, and making predictions using trend lines. The quiz requires students to move fluidly between visual interpretation of graphs, numerical calculations involving slope and regression equations, and conceptual understanding of what correlation coefficients and residuals reveal about data relationships. Created by Erica LufkinRdMS, a Mathematics teacher in US who teaches grade 8-9. This quiz serves as an excellent formative assessment tool that can be deployed at multiple points during a two-variable statistics unit to gauge student understanding and identify areas needing reinforcement. Teachers can use these questions as daily warm-ups to activate prior knowledge, assign them as homework practice to solidify concepts introduced in class, or implement them as review material before summative assessments. The variety of question formats—from basic correlation identification to complex regression calculations—makes this quiz adaptable for differentiated instruction and allows teachers to scaffold student learning progressively. The content directly supports Common Core standards 8.SP.A.1, 8.SP.A.2, HSA.ID.B.6, and HSA.ID.C.8, which emphasize constructing and interpreting scatter plots, understanding correlation versus causation, representing data with linear functions, and computing correlation coefficients and residuals.
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30 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Identify the type of correlation shown in the graph.
Positive
Negative
No Correlation
Undefined
Tags
CCSS.HSF-LE.A.1B
2.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
The following scatter plot shows Pam's training as she prepares to run a 6 mile race at the end of the month. Which of the following would be a reasonable approximation for the length of time it would take for her to run 6 miles?
Tags
CCSS.HSS.ID.B.6
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Identify the relationship between the number of siblings you have and your weight.
Positive relationship
Negative relationship
No relationship
All of the above
Tags
CCSS.HSF-LE.A.1B
4.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
Which equation best represents the line of fit?
y = x + 7.5
y = -x +7.5
y = 1/2x + 7.5
y = -1/2x + 7.5
Tags
CCSS.8.EE.B.5
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which scatter plot shows a linear relationship between x and y?
Tags
CCSS.8.F.A.3
6.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
Which sentence describes the relationship shown on this scatter plot?
Tags
CCSS.HSF.IF.B.4
CCSS.HSS.ID.B.6
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What type of correlation does this scatter plot show?
Tags
CCSS.HSF-LE.A.1B
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