Linear Regression Project: Description of what to include
1. Data in table form
 You should have more than 10, but less than 15 data points in your sample.
 If data was taken from the newspaper, include a copy of the article. If data was collected
from a website, include the URL. If you used a survey, include a copy of the questions used
and a brief description of how you collected the data.
2. Scatter Plot of the data including:
a) Graph of the LSRL with the equation
b) Description of the data (direction, form, and strength of the relationship)
c) Summary statistics ( x , y , s x , s y , r , r 2 )
3. Interpretation of the slope in context
4. Interpretation of the R2 value in context
5. Find the value of the explanatory variable (x) which has a z-score equal to 2 and use the
equation of the LSRL to predict the response (y) for this value of x. Show all work.
6. Residual Plot of the data including:
a) Comments about whether or not it justifies using a linear model
b) Find the residual for the point with the largest x-value from your data. Show all work.
7. Presentation with a visual display (written nicely or typed—can use GeoGebra for graphs).
Linear Regression Project: Description of what to include
1. Data in table form
 You should have more than 10, but less than 15 data points in your sample.
 If data was taken from the newspaper, include a copy of the article. If data was collected
from a website, include the URL. If you used a survey, include a copy of the questions used
and a brief description of how you collected the data.
2. Scatter Plot of the data including:
d) Graph of the LSRL with the equation
e) Description of the data (direction, form, and strength of the relationship)
f) Summary statistics ( x , y , s x , s y , r , r 2 )
3. Interpretation of the slope in context
4. Interpretation of the R2 value in context
5. Find the value of the explanatory variable (x) which has a z-score equal to 2 and use the
equation of the LSRL to predict the response (y) for this value of x. Show all work.
6. Residual Plot of the data including:
c) Comments about whether or not it justifies using a linear model
d) Find the residual for the point with the largest x-value from your data. Show all work.
7. Presentation with a visual display (written nicely or typed—can use GeoGebra for graphs).
Linear Regression Project: Grading Rubric
Item
Comments:
Points
1
0 1 2 3
2A
0 1 2
2B
0 1 2 3 4 5
2C
0 1 2
3
0 1 2 3
4
0 1 2 3
5
0 1 2 3
6A
0 1 2 3
6B
0 1 2 3
7
0 1 2 3 4 5
/32
Total:
Linear Regression Project: Grading Rubric
Item
Comments:
Points
1
0 1 2 3
2A
0 1 2
2B
0 1 2 3 4 5
2C
0 1 2
3
0 1 2 3
4
0 1 2 3
5
0 1 2 3
6A
0 1 2 3
6B
0 1 2 3
7
0 1 2 3 4 5
Total:
Name__________________________
/32
Name__________________________