Share
Explore BrainMass

# Correlation Analysis

Biomechanics of ligament and relationship between age, diagnosis and histology.

The aims were to determine whether there is a link between histology. That is SMA, EVG and MT and the other parameters. And a link between the histological parameters in themselves.

Hypothesis: young's modulus and/or yield and/or strain is related to age/diagnosis/histology

The samples are from ligaments removed from patients after surgery.

Patient number Age Diagnosis Duration of symptoms (months) EVG mt SMA strain Yield Youngs
1 28 Prolapse 6 0.7097 0.1178 82 63.32 1.51 0..067
2 48 Stenosis 84 0.6473 0.0978 26 177 4.55 0.051
3 80 Stenosis 144 0.6785 0.1301 19 105.01 1.4 0.021
4 68 Stenosis 36 0.6329 0.085 17
5 26 Prolapse 27
6 69 Stenosis 48 0.438 0.3909 9 205.29 6.41 0.058
7 36 Prolapse 42 0.6228 0.2268 71 161.67 1.68 0.0327
8 33 Prolapse 18 0.7498 0.1781 72 159.17 1.68 0.021
9 38 Stenosis 96 0.6397 0.2527 76
10 24 Prolapse 12 0.6999 0.134 63

1. is there a correlation between age and any of the other variables

2. is there a correlation between diagnosis and any of the other variables

3. is there a correlation between EVG,SMA or MT independent of other factors

4. Is there a correlation between the strain, yield or youngs and any of the MT, EVG and SMA

5. Is there a correlatin between youngs, yield and strain and age or diagnosis

6. Is there a correlation between duration of symptoms and SMA irrespective of other factors

#### Solution Preview

Biomechanics of ligament and relationship between age, diagnosis and histology.

The aims were to determine whether there is a link between histology. That is SMA, EVG and MT and the other parameters. And a link between the histological parameters in themselves.

Hypothesis: young's modulus and/or yield and/or strain is related to age/diagnosis/histology

The samples are from ligaments removed from patients after surgery.

Patient number Age Diagnosis Duration of symptoms (months) EVG mt SMA strain Yield Youngs
1 28 Prolapse 6 0.7097 0.1178 82 63.32 1.51 0..067
2 48 Stenosis 84 0.6473 0.0978 26 177 4.55 0.051
3 80 Stenosis 144 0.6785 0.1301 19 105.01 1.4 0.021
4 68 Stenosis 36 0.6329 0.085 17
5 26 Prolapse 27
6 69 Stenosis 48 0.438 0.3909 9 205.29 6.41 0.058
7 36 Prolapse 42 0.6228 0.2268 71 161.67 1.68 0.0327
8 33 Prolapse 18 0.7498 0.1781 72 159.17 1.68 0.021
9 38 Stenosis 96 0.6397 0.2527 76
10 24 Prolapse 12 0.6999 0.134 63

1. Is there a correlation between age and any of the other variables

The correlation between age and other variable are given below. The significance of correlation is also tested .
The null hypothesis considered is H0: r =0 Vs H1 : r &#8800; 0
The test statistics used is . The conclusions are taken based on the p value. If p value is less than 0.05 , we reject ...

#### Solution Summary

Correlation analysis of Biomechanics of ligament, age, diagnosis and histology.

\$2.19