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iRubric: Regression Project rubric

iRubric: Regression Project rubric

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Regression Project 
Rubric Code: GXW94X6
By am11445
Draft
Public Rubric
Subject: Math  
Type: Assessment  
Grade Levels: 9-12

Powered by iRubric Regression Project
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  Missing

0 pts

Poor

1 pts

Fair

2 pts

Good

3 pts

Excellent

4 pts

Scatter Plot
2 pts

Scatter plot of bivariate data is graphed on the coordinate plane with the x & y axes labeled.
Missing

Missing
Poor

Scatter plot was attempted, but has significant errors.
Fair

Scatter plot has minor errors.
Good

Scatter plot is correct and complete but the x & y axes are not labeled.
Excellent

Scatter plot is correct and complete with the x & y axes labeled.
Description
2 pts

Calculation of the correlation coefficient and discussion of correlation and the "r" value.
Missing

Missing
Poor

Correlation and/or the "r" value is discussed, but there are significant errors in the description
Fair

The correlation coefficient is found, but there are minor errors in the description.
Good

Correlation is described accurately, but "r" is not found.
Excellent

Correlation coefficient is correct and correlation is described accurately.
Line of Regression
2 pts

The line of regression is found using appropriate technology.
Missing

Missing
Poor

There are significant errors in the regression equation.
Fair
Good

The equation contains rounding errors, but is otherwise correct.
Excellent

The equation of the line of regression is correct (including rounding).
Sketching the Line of Regression
2 pts

The line of regression is sketched into the scatter plot by hand or using appropriate technology.
Missing

Missing
Poor

The regression line contains significant errors.
Fair

The regression line contains two minor errors.
Good

The regression line contains a minor error.
Excellent

The regression line is graphed correctly.
Residuals
3 pts

Calculate the residuals for your bivariate data.
Missing

Missing
Poor

There are significant errors in the calculation of the residuals OR there are many missing calculations.
Fair

There are more than 2 minor errors in the calculations of the residuals.
Good

There are 1 or 2 minor errors in the calculations of the residuals.
Excellent

Residuals are calculated correctly.
Residuals Plot
2 pts

Sketch the residuals plot with an appropriate scale.
Missing

Missing
Poor

Residuals plot is attempted, but contains significant errors.
Fair

Residuals plot is graphed using an inappropriate scale.
Good

Residuals plot contains 1 -2 minor errors.
Excellent

Residuals plot is graphed correctly using an appropriate scale.
Conclusion
2 pts

Based on your residuals plot, determine if linear regression is a good fit and explain your conclusion.
Missing

Missing
Poor

Conclusion is attempted, but contains significant errors.
Fair

There are minor errors in the conclusion.
Good

Conclusion is correct, but is not explained in a complete sentence.
Excellent

Conclusion is correct and explained in a complete sentence.
Presentation
2 pts

Missing
Poor

Final presentation is turned in, but is not completed using an appropriate tool.
Fair
Good

Final project is presented using appropriate tools, but lacks organization or is not easily followed.
Excellent

Final project is presented using appropriate tools. It is organized and easily followed.




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