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Standards for Lessons 1-5:
8.F.4 Analyze functions that model linear relationships. ▪ Understand that a linear relationship can be generalized by y = mx + b. ▪ Write an equation in slope-intercept form to model a linear relationship by determining the rate of change and the initial value, given at least two (x, y) values or a graph. ▪ Construct a graph of a linear relationship given an equation in slope-intercept form. |
▪ Interpret the rate of change and initial value of a linear function in terms of the situation it models, and in terms of the slope and y-intercept
of its graph or a table of values.
Previous Grade Standards: 7.RP.2
8.F.5 Qualitatively analyze the functional relationship between two quantities.
▪ Sketch a graph that exhibits the qualitative features of a real-world function
Standards for Lessons 4-5:
8.F.5 Qualitatively analyze the functional relationship between two quantities.
▪ Analyze a graph determining where the function is increasing or decreasing; linear or non-linear.
of its graph or a table of values.
Previous Grade Standards: 7.RP.2
8.F.5 Qualitatively analyze the functional relationship between two quantities.
▪ Sketch a graph that exhibits the qualitative features of a real-world function
Standards for Lessons 4-5:
8.F.5 Qualitatively analyze the functional relationship between two quantities.
▪ Analyze a graph determining where the function is increasing or decreasing; linear or non-linear.
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Standards for Lessons 6-9:
8.SP.1 Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Investigate
and describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
Previous Grade Standards: 6.NS.8
8.SP.2 Model the relationship between bivariate quantitative data to:
▪ Informally assess the model fit by judging the closeness of the data points to the line.
8.SP.1 Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Investigate
and describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
Previous Grade Standards: 6.NS.8
8.SP.2 Model the relationship between bivariate quantitative data to:
▪ Informally assess the model fit by judging the closeness of the data points to the line.
Tips for Parents, Topic C | |
File Size: | 174 kb |
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lesson_12_nonlinear_models_in_a_data_context.pdf | |
File Size: | 703 kb |
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Lesson 11: Using Linear Models in a Data Context | |
File Size: | 492 kb |
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Lesson 12: Nonlinear Models in a Data Context | |
File Size: | 703 kb |
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Exit Tickets: Lessons 10-12 | |
File Size: | 508 kb |
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Tips for Parents, Topic D | |
File Size: | 157 kb |
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Exit Tickets: Lessons 13-14 | |
File Size: | 435 kb |
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