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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Domínguez
3
67 kgHolm Sørensen
5
77 kgLilholt
6
72 kgBortolami
7
73 kgKelly
8
77 kgCordes
9
70 kg
3
67 kgHolm Sørensen
5
77 kgLilholt
6
72 kgBortolami
7
73 kgKelly
8
77 kgCordes
9
70 kg
Weight (KG) →
Result →
77
67
3
9
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DOMÍNGUEZ Manuel Jorge | 67 |
| 5 | HOLM SØRENSEN Brian | 77 |
| 6 | LILHOLT Søren | 72 |
| 7 | BORTOLAMI Gianluca | 73 |
| 8 | KELLY Sean | 77 |
| 9 | CORDES Tom | 70 |