Summary of project :
Summary of project We compared the number of wins in a season to the number of pro bowlers to each team. The information was found online at an NFL website. We decided as a group that there would be a positive correlation.
Scatter Plot :
Scatter Plot
Slide 4:
X values
8, 5, 4, 3, 3, 3, 3, 2, 2, 2, 2, 2, 0, 0, 7, 6, 6, 5, 4, 4, 4, 3, 2, 2, 2, 2, 1, 1, 0, 0, 7 y values
4, 8, 11, 12, 7, 2, 11, 5, 8, 4, 5, 12, 9, 10, 12, 12, 9, 8, 6, 11, 8, 9, 4, 9, 7, 0, 2, 9
Slide 5:
R= .6564658662
R^2= .4309474335
LSRL=4.85 + 1.05x
Prediction=With 14 wins you would have 9 probowlers
Residual :
Residual
Slide 7:
X values
0 0 1 1 2 2 2 2 3 4 4 4 5 6 6 7 0 0 2 2 2 2 2 3 3 3 8 3 4 5 7 Y values
-2.8467 -4.8467 1.1032 3.103 -2.946 2.053 1.053 4.05 -1.99 -1.04 -0.046 2.953 1.903 -1.14 -2.14 -0.197 0.153 -0.8467 1.053 -1.946 4.05 -4.94 0.053 4.003 3.003 0.003 -0.247 -3.99 2.95 0.903 3.197
Slide 8:
We learned that the scatter plot wasn’t as perfect as we thought it was going to be. It looked like the dots were random. There are outliers in the graph