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Can I model relationships mathematically in order to describe, analyze, make predictions, and draw conclusions about a set of data?
LEARNING TARGETS TO BE ASSESSED:
LEARNING TARGETS TO BE ASSESSED:
I can use technology to develop a linear equation for the line of best fit / regression. (S.ID.6c)
I can interpret the meaning of slopes and y-intercepts from a line of best fit as they relate to the context of a problem. (S.ID.7)
I can interpret the graphs and equations from a line of best fit to make predictions. (S.ID.7)
I can use technology to determine the correlation coefficient and interpret it in the context of the data. (S.ID.8)
I can distinguish between correlation and causation. (S.ID.9)
Then calibrate your scoring as a PLC, score this FSA, evaluate the student data, and use the data to guide instruction.
Then calibrate your scoring as a PLC, score this FSA, evaluate the student data, and use the data to guide instruction.
CPM Resources
CPM Resources
4.1.1: How can I make predictions? Line of Best Fit
4.1.2: How close is the model? Residuals
4.1.3: What are the bounds of my predictions? Upper and Lower Bounds
4.1.4: How do I determine the LSRL? Least Squares Regression Line
4.2.1: When is my model appropriate? Residual Plots
4.2.2: How can I measure my linear fit? Correlation
4.2.3: Why can’t studies determine cause and effect? Association is Not Causation
4.2.4: What does the correlation mean? Interpreting Correlation in Context
Parent Guides
Parent Guides
4.1.1: Line of Best Fit | Recta de mejor ajuste
4.1.2 - 4.1.3: Residuals and Upper and Lower Bounds | Valores residuales y cota superior e inferior
4.1.4: Least Squares Regression Line | Línea de regresión de mínimos cuadrados
4.2.1 & 4.2.2 & 4.2.4: Residual Plots and Correlation | Diagramas de valor residual y correlación
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