Curriculum / Math / 8th Grade / Unit 8: Bivariate Data / Lesson 14
Math
Unit 8
8th Grade
Lesson 14 of 14
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(Day 5) Use linear models to make predictions, evaluate limitations, and communicate conclusions about the relationship between climate change variables.
Topic A: Associations in Bivariate Numerical Data
Define bivariate data. Analyze data in scatter plots.
Standards
8.SP.A.1
Create scatter plots for data sets and make observations about the data.
Identify and describe associations in scatter plots including linear/nonlinear associations, positive/negative associations, clusters, and outliers.
Informally fit a line to data. Judge the fit of the line and make predictions about the data based on the line.
8.SP.A.2
Write equations to represent lines fit to data and make predictions based on the line.
8.SP.A.3
Interpret the slope and $$y$$-intercept of a fitted line in context.
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Topic B: Associations in Bivariate Categorical Data
Create and analyze two-way tables representing bivariate categorical data.
8.SP.A.4
Calculate relative frequencies in two-way tables to investigate associations in data.
Complete two-way tables and identify associations in the data.
Topic C: Project
(Day 1) Develop a meaningful bivariate statistical question about climate change and predict the relationship between two measurable variables that could be investigated using data.
8.SP.A.18.SP.A.2
(Day 2) Collect and organize climate data that can be used to investigate a statistical relationship between two variables.
(Day 3) Represent climate data using scatter plots and describe patterns in the relationship between two variables.
(Day 4) Draw and write an equation for a line fit to climate data displayed in a scatter plot.
8.SP.A.28.SP.A.3
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