Evidence of Student Vocabulary Knowledge Skills Instructional Achievement Descriptors Attainment/Assessment Students: Quantitative variables Students know: Students understand/are able to: EES-ID.6. N/A Given a data set of two quantitative variables, Scatter plot Techniques for creating a Accurately create a scatter plot of data, scatter plot, Create a scatter plot (with and Residuals Correctly choose a function to fit the without technology), Techniques for fitting various scatter plot, functions (linear, quadratic, Create a function best fits the exponential) to data, Make reasonable assessments on the fit data (linear, quadratic, and of the function to the data by exponential models), Methods for residuals to examining residuals, judge the closeness of the fit Compare the graphs of the scatter of the function to the original Accurately fit a linear function to data plot and function to see the fit to data. when there is evidence of a linear the original data, association. Fit a linear function to the data if Functions are used to create equations the scatter plot indicates a linear representative of ordered pairs of data, association. Residuals may be examined to analyze how well a function fits the data, When a linear association is suggested, a linear function can be fit to the scatter plot to aid in modeling the relationship.
Evidence of Student Attainment/Assessment Vocabulary Knowledge Skills Instructional Achievement Descriptors Students: Given a data set of two quantitative variables, Create a scatter plot (with and without technology), Create a function best fits the data (linear, quadratic, and exponential models), Compare the graphs of the scatter plot and function to see the fit to the original data, Fit a linear function to the data if the scatter plot indicates a linear association. Quantitative variables Scatter plot Residuals Students know: Techniques for creating a scatter plot, Techniques for fitting various functions (linear, quadratic, exponential) to data, Methods for residuals to judge the closeness of the fit of the function to the original data. Students understand/are able to: Accurately create a scatter plot of data, Correctly choose a function to fit the scatter plot, Make reasonable assessments on the fit of the function to the data by examining residuals, Accurately fit a linear function to data when there is evidence of a linear association. Functions are used to create equations representative of ordered pairs of data, Residuals may be examined to analyze how well a function fits the data, When a linear association is suggested, a linear function can be fit to the scatter plot to aid in modeling the relationship. EES-ID.6. N/A
Algebra-1-Pacing-Guide-Version-3.docx