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 - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Huppertz
6
66 kgJensen
7
67 kgDe Decker
9
68 kgDonders
12
76 kgJones
13
81 kgBrusselman
15
76 kgde Kleijn
16
68 kg
6
66 kgJensen
7
67 kgDe Decker
9
68 kgDonders
12
76 kgJones
13
81 kgBrusselman
15
76 kgde Kleijn
16
68 kg
Weight (KG) →
Result →
81
66
6
16
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | HUPPERTZ Joshua | 66 |
| 7 | JENSEN August | 67 |
| 9 | DE DECKER Alfdan | 68 |
| 12 | DONDERS Jelle | 76 |
| 13 | JONES Brenton | 81 |
| 15 | BRUSSELMAN Twan | 76 |
| 16 | DE KLEIJN Arvid | 68 |