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 = 0.7 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Senni
3
60 kgGogl
5
71 kgSterbini
28
72 kgPibernik
42
60 kgGoldstein
48
63 kgZilberstein
91
57 kgDe Winter
93
83 kg
3
60 kgGogl
5
71 kgSterbini
28
72 kgPibernik
42
60 kgGoldstein
48
63 kgZilberstein
91
57 kgDe Winter
93
83 kg
Weight (KG) →
Result →
83
57
3
93
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SENNI Manuel | 60 |
| 5 | GOGL Michael | 71 |
| 28 | STERBINI Luca | 72 |
| 42 | PIBERNIK Luka | 60 |
| 48 | GOLDSTEIN Roy | 63 |
| 91 | ZILBERSTEIN Ido | 57 |
| 93 | DE WINTER Ludwig | 83 |