1. Arms vs. Feet
Group 4 Members and Participants Amelia Corey, Angie Coates, Cynthia Bradwisch,
Aaron Grow, and Daniel Champion

2. Is length of forearm related to foot size?
The first quantitative variable is forearm length from elbow bend to wrist.
The unit of measurement for this variable is inches. A few possible values for this first quantitative variable are 4 inches, 6 inches 12 inches.
The second quantitative variable is foot size.
The unit of measurement for this variable is inches. A few values for this second quantitative variable are 4 inches, 6 inches, 12 inches.
To answer this research question, will gather data as follows:
Each member of the group will randomly select 12 individuals any age and gender. The members of our group are located in various places so this will add to the randomness of the project. We will ask to measure the individuals forearm length and foot length. The data was sent to Angie Coates our group leader and she distributed the final data table to the group.
Contributed by Angie Coats

3. Forearm Length (in.)
4.00
7.75
9.00
10.00
11.00
5.00
8.00
6.00
9.25
6.50
9.50
7.00
8.25
8.50
10.25
7.25
8.75
9.75
10.50
12.00
7.50
12.25
12.50
13.00
Contributed by Aaron Grow

4. Foot Length (in.)
4.50
7.50
9.00
10.00
10.75
5.25
8.00
10.19
9.10
10.25
5.50
9.25
11.00
5.75
8.25
9.31
10.41
6.00
9.50
7.00
8.50
10.50
11.25
8.75
9.75
11.50
7.25
11.75
12.00
13.00
Contributed by Aaron Grow

5. Variable One
Figure 1.2 Boxplot for the frequency of the selected foot sizes. This graph includes the one outlier of this variable.
Contributed by Amelia Corey
Figure 1.1
Figure 1.1 represents a Histogram for Variable One. This graph shows the frequency of the selected foot sizes.
Figure 1.2

6. Variable two
Figure 2.2 represent a Boxplot for Variable Two. This graphs shows the upper and lower fences and show the absence of any outliers.
Contributed by Amelia Corey
Figure 2.1
Figure 2.1 represent a Histogram for Variable two. This graphs shows the frequency of the sample data shoe sizes.
Figure 2.2

7. Correlation Coefficient
Both variables follow a linear pattern when plotted on a scatter diagram.
Both positively associated with a strong linear relation (r=0.7)
When one variable increases, the other increases as well.
The critical value is lower than the linear correlation.
Statistics for the Correlation of
Two Variables r=
Equation for the least-squares regression line:
y=0.789x+8.393
Critical Value:
.250
Contributed by Cynthia Bradwisch

8. What did we learn?
Are the two variables of forearm length and foot length related to each other?
Contributed by Daniel Champion

9. Conclusion Yes The longer the forearm, the longer the foot.
Contributed by Daniel Champion