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 = 0.7 * weight - 45
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Bol
1
71 kgvan Garderen
2
72 kgKreder
3
70 kgKreder
5
71 kgChaigneau
6
80 kgLaengen
9
79 kgBeukeboom
15
88 kg
1
71 kgvan Garderen
2
72 kgKreder
3
70 kgKreder
5
71 kgChaigneau
6
80 kgLaengen
9
79 kgBeukeboom
15
88 kg
Weight (KG) →
Result →
88
70
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOL Jetse | 71 |
| 2 | VAN GARDEREN Tejay | 72 |
| 3 | KREDER Raymond | 70 |
| 5 | KREDER Wesley | 71 |
| 6 | CHAIGNEAU Robin | 80 |
| 9 | LAENGEN Vegard Stake | 79 |
| 15 | BEUKEBOOM Dion | 88 |