S-ID Interpreting Categorical and Quantitative Data
B. Summarize, represent, and interpret data on two categorical and quantitative variables
6. Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
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.
b. Informally assess the fit of a function by plotting and analyzing residuals.
c. Fit a linear function for a scatter plot that suggests a linear association.
C. Interpret linear models
7. Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.
8. Compute (using technology) and interpret the correlation coefficient of a linear fit.
9. Distinguish between correlation and causation.
S-ID.6, 7, 8, 9: Coffee and Crime
S-ID.7 Texting and Grades II
Scatter Plot, Linear Reg, Correlation & Residuals with TI-NSPIRE
- menu > 4: Statistics > 1: Stat Calculations > 2: Two-Variable Statistics
- menu > 4: Statistics > 1: Stat Calculations > 4: Linear Regression (a+bx)
- ctrl > +page > 5: Add Data & Statistics