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 = 0.4 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Winnen
8
60 kgRoche
20
74 kgKelly
21
77 kgMadiot
26
68 kgBauer
29
72 kgBernaudeau
30
64 kg
8
60 kgRoche
20
74 kgKelly
21
77 kgMadiot
26
68 kgBauer
29
72 kgBernaudeau
30
64 kg
Weight (KG) →
Result →
77
60
8
30
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | WINNEN Peter | 60 |
| 20 | ROCHE Stephen | 74 |
| 21 | KELLY Sean | 77 |
| 26 | MADIOT Marc | 68 |
| 29 | BAUER Steve | 72 |
| 30 | BERNAUDEAU Jean-René | 64 |