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Curve Fitting
Curve Fitting
Students will use exponential and power models to perform transformations to straighten out nonlinear data in scatterplots.
Rubric Code:
LX54W68
By
rforest
Ready to use
Public Rubric
Subject:
Math
Type:
Exam
Grade Levels:
(none)
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Mobile Mode
Curve Fitting
very poor
0 pts
poor
1 pts
fair
2 pts
good
3 pts
very good
4 pts
Identify Variables
very poor
Student did not identify either variablein any plot
poor
Student identified variables in one plot
fair
Student identified variables in two plots
good
Student identified variables in three or more plots
very good
Student identified variables in all plots.
Sketch scatterplots
very poor
Student sketched no scatterplots.
poor
Students sketched at least one scatterplot with no labels of axes.
fair
Student sketched at least two scatterplots but did not label all axes correctly.
good
Student skethced at least three scatterplots, but did not label all axes correctly.
very good
Student sketched all three scatter plots required and labelled all axes correctly.
Identification of variables by list
very poor
Student did not give any information for variable location by list.
poor
Student gave lists location for at least one set of plots.
fair
Student gave lists locations for at least two sets of plots.
good
Student gave lists locations for at least three sets of data, but mislabelled one location.
very good
Student gave all lists locations accurately.
Neatness of plots
very poor
Plots were very messy with smears, no labels, no numbers, no titles.
poor
Plots were drawn, but not labelled or titled.
fair
At least half of the plots were labelled and titled.
good
At least five plots were titled and labelled correctly.
very good
All plots were titled and labelled correctly.
Regression information written
very poor
Student did not identify or write regression equations and statistics for a, b, r, and r^2, and standard deviation of residuals.
poor
Student identified and wrote regression equations only.
fair
Student identified and wrote regression equations and one or more regression statistics.
good
Students identified all regression equations and three or more regression statistics.
very good
Student successfully wrote all reqression equations and all regression statistics requested in problem.
Reexpressed equations in y= format
very poor
Student did not reexpress any of the transformed equations.
poor
Student did not correctly reexpress any of the transformed equations.
fair
Student reexpressed at least one of the transformed equations correctly.
good
Student rexpressed all transformed equations, but not all were correctl.
very good
Student successfully rexpressed all transformed regression equations correctly in the y= format.
Concluding paragraph
very poor
Student did not make concluding paragraph.
poor
Student did not give statistical support in concluding paragraph.
fair
Student did not choose the best model for concluding paragraph.
good
Student chose best model, but did not give clear reasons for conclusions.
very good
Student chose best model and gave good statistical support for decision.
Responses to part 7
very poor
No responses made.
poor
Responses not adequate.
fair
Responses not completed.
good
One point tested correctly with residual calculated.
very good
Two points tested and residuals calculated correctly.
Response to part (b)
very poor
No response
poor
fair
Accurate response, but no comments.
good
Accurate respone with incorrect comment.
very good
Accurate response with appropriate comments.
Keywords:
Transformations
Subjects:
Math
Types:
Exam
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