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iRubric: Curve Fitting rubric

iRubric: Curve Fitting rubric

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Curve Fitting 
Students will use exponential and power models to perform transformations to straighten out nonlinear data in scatterplots.
Rubric Code: LX54W68
Ready to use
Public Rubric
Subject: Math  
Type: Exam  
Grade Levels: (none)

Powered by iRubric 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:

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