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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Imboden
4
70 kgvan der Poel
5
70 kgBölts
6
73 kgHolm Sørensen
7
77 kgHeppner
8
69 kgMuseeuw
11
71 kgBortolami
12
73 kg
4
70 kgvan der Poel
5
70 kgBölts
6
73 kgHolm Sørensen
7
77 kgHeppner
8
69 kgMuseeuw
11
71 kgBortolami
12
73 kg
Weight (KG) →
Result →
77
69
4
12
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | IMBODEN Heinz | 70 |
| 5 | VAN DER POEL Adrie | 70 |
| 6 | BÖLTS Udo | 73 |
| 7 | HOLM SØRENSEN Brian | 77 |
| 8 | HEPPNER Jens | 69 |
| 11 | MUSEEUW Johan | 71 |
| 12 | BORTOLAMI Gianluca | 73 |