Embedded Files
Part 2: Data Analysis
Part 2: Data Analysis
For this part of the lab, the data has already been collected for you. We will be using a set of long-tailed macaque limb measurements collected as part of a PhD dissertation.
Measurements are:
Body length (A): length from top of the head to the base of the tail (tail is not included)
Humeral head diameter (B): vertical measurement of the diameter of the humeral head
Femur length (C): maximum length of the femur
Upper limb length (D): humerus length + radius length
Lower limb length (E): femur length + tibia length
All measurements are in millimeters (mm).
Each group will analyze the relationship between one of the limb measurements (B-E) and body length (A). Click below link to access your group’s datasheet.
Analyze Data
Analyze Data
Body length (mean ± standard deviation)
Your limb measurement (mean ± standard deviation)
R2
Whether the correlation is a “strong” correlation (R2 value equal to or greater than 0.7)
Equation for regression line
Predict Body Length from Limb Measurement
This scatterplot excludes data from the first specimen in the dataset (values highlighted in blue). For this specimen, calculate:
Body length based on the regression line
Whether the calculated body length an underestimate or an overestimate of the specimen’s actual body length
Percent error for calculated body length, using the formula:
Page updated
Report abuse