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Common Core: Math
CCLS  Math: S.ID.6
 Category
 Interpreting Categorical And Quantitative Data
 SubCategory
 Summarize, Represent, And Interpret Data On Two Categorical And Quantitative Variables
 State Standard:
 Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
16 Results

 Student Outcomes Students model cyclical phenomena from biological and physical science using trigonometric functions. Students understand that some periodic behavior is too complicated to be modeled...

 Students will use trigonometric functions to model periodic phenomena (FTF.B.5) by fitting sinusoidal functions to data (SID.B.6a). Students use the properties of the graphs of sinusoidal...

 Module 2 builds on students’ previous work with units and with functions from Algebra I, and with trigonometric ratios and circles from high school Geometry. The heart of the module is the study of...

 In Topic D, students analyze relationships between two quantitative variables using scatterplots and by summarizing linear relationships using the least squares regression line. Models are proposed...

 Student Outcomes Students use linear, quadratic, and exponential functions to model data from tables, and choose the regression most appropriate to a given context. They use the correlation...

 Student Outcomes Students use data to develop a poster that involves the focus standards. Students construct a scatter plot of the data. Students analyze their data, examining the residual plot, and...

 Student Outcomes Students use technology to determine the value of the correlation coefficient for a given data set. Students interpret the value of the correlation coefficient as a measure of...

 Student Outcomes Students use a graphing calculator to construct the residual plot for a given data set. Students use a residual plot as an indication of whether the model used to describe the...

 Student Outcomes Students use a graphing calculator to construct the residual plot for a given data set. Students use a residual plot as an indication of whether the model used to describe the...

 Student Outcomes Students use the leastsquares line to predict values for a given data set. Students use residuals to evaluate the accuracy of predictions based on the leastsquares line.

 Student Outcomes Students use the leastsquares line to predict values for a given data set. Students use residuals to evaluate the accuracy of predictions based on the leastsquares line.

 Student Outcomes Students determine the leastsquares regression line from a given set of data using technology. Students use the leastsquares regression line to make predictions.

 Student Outcomes Students distinguish between scatter plots that display a relationship that can be reasonably modeled by a linear equation and those that should be modeled by a nonlinear equation....

 Student Outcomes Students distinguish between scatter plots that display a relationship that can be reasonably modeled by a linear equation and those that should be modeled by a nonlinear equation.

 Algebra I Module 5: A Synthesis of Modeling with Equations and Functions In Module 5, students synthesize what they have learned during the year about functions to select the correct function type in...

 Algebra I Module 2: Descriptive Statistics In this module, students reconnect with and deepen their understanding of statistics and probability concepts first introduced in Grades 6, 7, and 8. ...