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 = -1.8 * weight + 140
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Korošec
2
75 kgRäim
3
69 kgLovassy
7
71 kgThill
11
73 kgTagliani
15
70 kgTurek
18
72 kgFilutás
26
68 kg
2
75 kgRäim
3
69 kgLovassy
7
71 kgThill
11
73 kgTagliani
15
70 kgTurek
18
72 kgFilutás
26
68 kg
Weight (KG) →
Result →
75
68
2
26
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KOROŠEC Rok | 75 |
| 3 | RÄIM Mihkel | 69 |
| 7 | LOVASSY Krisztián | 71 |
| 11 | THILL Tom | 73 |
| 15 | TAGLIANI Filippo | 70 |
| 18 | TUREK Daniel | 72 |
| 26 | FILUTÁS Viktor | 68 |