Topics
11. Bivariate Data
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United States of America
Grade 8

Topic Review: Bivariate data

Lesson
Practice
Adaptive
Worksheet

Interactive practice questions

Consider the following variables:

  • Number of ice cream cones sold
  • Temperature (°C)
a

Which of the following statements makes sense?

The temperature affects the number of ice cream cones sold.

A

The number of ice cream cones sold affects the temperature.

B
b

Which is the dependent variable and which is the independent variable?

The independent variable is the temperature and the dependent variable is the number of ice cream cones sold.

A

The independent variable is the number of ice cream cones sold and the dependent variable is temperature.

B
Easy
1min

Consider the following variables:

  • Revenue from a show
  • Ticket sales
Easy
1min

For which pair of variables is there a direct relationship between the dependent and independent variable?

Easy
< 1min

For which pair of variables is there a direct relationship between the dependent and independent variable?

Easy
< 1min
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Outcomes

8.SP.A.1

Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.

8.SP.A.2

Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.

8.SP.A.3

Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept

8.SP.A.4

Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables.

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