Statistical Analysis

We took 2 measurements each for the right forearm, and the right foot. Both are scale data. The average of the two measurements were calculated and keyed into SPSS for analysis. Measurements were taken twice so as to increase the reliability of our results.

This is the data we have collected.

After collecting and collating our data, we proceeded to analyse it using SPSS.

We generated the scatter plot as shown below:

From the scatter plot, we can see the linearity of our 

data.

We then decided to use a Pearson's r for the data analysis. This is possible as both data are scale data.

Reason:

To determine the relationship between length of forearm and length of foot.

From the table above, 
Pearson's R = 0.682
p < 0.05
n = 40


This shows that the independent (length of foot) and dependent (length of arm) variables have a strong, positive relationship.  
Hence, the null hypothesis can be rejected.