Empty Layer.

Empty Layer.

Empty Layer.

Empty Layer.

Empty Layer.

Empty Layer.

Empty Layer.

Empty Layer.

Empty Layer.

Empty Layer.

- HSS-ID.B.5Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.
- HSS-ID.B.6Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.*

- HSS-ID.B.6aFit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.
- HSS-ID.B.6bInformally assess the fit of a function by plotting and analyzing residuals.
- HSS-ID.B.6cFit a linear function for a scatter plot that suggests a linear association.

Analyzing Residuals

Algebra I

» Unit:

Modeling With Statistics

Big Idea:So how good is your line of best fit? Students interpret residuals for a line of best fit using online applets.

Creating a Residual Plot

Algebra I

» Unit:

Modeling With Statistics

Big Idea:The residual plot for a regression can help students determine if the right model was used and the strength of correlation.

Cinderella's Slipper: Scatterplots, Residuals and Goodness of Fit

Algebra I

» Unit:

Our City Statistics: Who We Are and Where We are Going

Big Idea:Students explore the idea of Goodness of Fit for different data sets and learn to fit data that can be modeled with linear associations!

Linear Regression and Residuals

Algebra II

» Unit:

Statistics: Two Variables

Big Idea:Examining the size and distribution of errors made by a model can help us determine if the model is appropriate.

Working with Residuals

Algebra I

» Unit:

Data and Statistics

Big Idea:Is the graph random? Students develop an understanding of residuals and how they can indicate a linear relationship.

HSS-ID.B.6a

Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.

HSS-ID.B.6b

Informally assess the fit of a function by plotting and analyzing residuals.

HSS-ID.B.6c

Fit a linear function for a scatter plot that suggests a linear association.