Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 2 * weight - 124
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
Pfenninger
1
70 kgPoulidor
8
71 kgLasa
18
77 kgPost
30
79 kgHarrison
36
73 kgGodefroot
42
73 kg
1
70 kgPoulidor
8
71 kgLasa
18
77 kgPost
30
79 kgHarrison
36
73 kgGodefroot
42
73 kg
Weight (KG) →
Result →
79
70
1
42
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PFENNINGER Louis | 70 |
| 8 | POULIDOR Raymond | 71 |
| 18 | LASA José Manuel | 77 |
| 30 | POST Peter | 79 |
| 36 | HARRISON Derek | 73 |
| 42 | GODEFROOT Walter | 73 |