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 = -0.9 * weight + 74
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Ottema
1
77 kgStewart
3
70 kgLovidius
4
70 kgNeuman
6
72 kgAvoine
13
70 kgde Jong
14
72 kgWhelan
15
64 kg
1
77 kgStewart
3
70 kgLovidius
4
70 kgNeuman
6
72 kgAvoine
13
70 kgde Jong
14
72 kgWhelan
15
64 kg
Weight (KG) →
Result →
77
64
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OTTEMA Rick | 77 |
| 3 | STEWART Mark | 70 |
| 4 | LOVIDIUS Edvin | 70 |
| 6 | NEUMAN Dominik | 72 |
| 13 | AVOINE Kévin | 70 |
| 14 | DE JONG Timo | 72 |
| 15 | WHELAN James | 64 |