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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Aebersold
1
58 kgRiis
2
71 kgCamenzind
3
62 kgMeier
4
69 kgSastre
5
61 kgZberg
10
69 kg
1
58 kgRiis
2
71 kgCamenzind
3
62 kgMeier
4
69 kgSastre
5
61 kgZberg
10
69 kg
Weight (KG) →
Result →
71
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AEBERSOLD Niki | 58 |
| 2 | RIIS Bjarne | 71 |
| 3 | CAMENZIND Oscar | 62 |
| 4 | MEIER Armin | 69 |
| 5 | SASTRE Carlos | 61 |
| 10 | ZBERG Markus | 69 |