S-ID.B. Summarize, represent, and interpret data on two categorical and quantitative variables

S-ID.B.5. Summarize 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.

• Musical Preferences
• Support for a Longer School Day?

S-ID.B.6. Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

• Coffee and Crime
• Laptop Battery Charge 2
• Used Subaru Foresters I

S-ID.B.6.a. 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.

• Olympic Men's 100-meter dash

S-ID.B.6.b. Informally assess the fit of a function by plotting and analyzing residuals.

• Restaurant Bill and Party Size

S-ID.B.6.c. Fit a linear function for a scatter plot that suggests a linear association.

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