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 = -0.3 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Larronde
1
71 kgScott
2
76 kgTruffer
4
73 kgMedina
7
64 kgChurch
8
70 kgDuclos-Lassalle
27
61 kgDe Groote
31
77 kg
1
71 kgScott
2
76 kgTruffer
4
73 kgMedina
7
64 kgChurch
8
70 kgDuclos-Lassalle
27
61 kgDe Groote
31
77 kg
Weight (KG) →
Result →
77
61
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LARRONDE Ellande | 71 |
| 2 | SCOTT Oliver | 76 |
| 4 | TRUFFER Carl | 73 |
| 7 | MEDINA Joaquin | 64 |
| 8 | CHURCH Nolan | 70 |
| 27 | DUCLOS-LASSALLE Hugo | 61 |
| 31 | DE GROOTE Augustus | 77 |