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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Prado
1
65 kgBickmore
3
74 kgVerhoeff
4
76 kgLange
5
72 kgHoehn
6
63 kgRøed
10
74 kgMcDunphy
12
70 kgSevilla
14
62 kg
1
65 kgBickmore
3
74 kgVerhoeff
4
76 kgLange
5
72 kgHoehn
6
63 kgRøed
10
74 kgMcDunphy
12
70 kgSevilla
14
62 kg
Weight (KG) →
Result →
76
62
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRADO Ignacio de Jesús | 65 |
| 3 | BICKMORE Cade | 74 |
| 4 | VERHOEFF Stefan | 76 |
| 5 | LANGE Colby | 72 |
| 6 | HOEHN Alex | 63 |
| 10 | RØED Torbjørn Andre | 74 |
| 12 | MCDUNPHY Conn | 70 |
| 14 | SEVILLA Óscar | 62 |