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.
Standard Clarifications: i) Assessment tasks have a
realworld context. ii) Exponential functions are limited to those with
domains in the integers.
*I
can represent data on a scatter plot (2 quantitative variables).
*I
can fit a given function class (e.g. linear, exponential) to data.
*I
can, using given scatter plot data represented on the coordinate plane,
informally describe how the two quantitative variables are related.
*I
can determine which function best models scatter plot data represented on
the coordinate plane, and describe how the two quantitative variables are
related.
*I
can use functions fitted to data to solve problems in the context of the
data.
*I
can represent the residuals from a function and the data set it models
numerically and graphically.
*I
can informally assess the fit of a function by analyzing residuals from the
residual plot.
*I
can fit a linear function for a scatter plot that suggests a linear
association.
