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 = 0.8 * weight - 43
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Dietziker
1
67 kgZahner
2
73 kgKohler
6
69 kgSchwab
7
65 kgStalder
9
58 kgMorabito
13
74 kgFrei
24
71 kgVitoria
33
74 kg
1
67 kgZahner
2
73 kgKohler
6
69 kgSchwab
7
65 kgStalder
9
58 kgMorabito
13
74 kgFrei
24
71 kgVitoria
33
74 kg
Weight (KG) →
Result →
74
58
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIETZIKER Andreas | 67 |
| 2 | ZAHNER Simon | 73 |
| 6 | KOHLER Martin | 69 |
| 7 | SCHWAB Hubert | 65 |
| 9 | STALDER Florian | 58 |
| 13 | MORABITO Steve | 74 |
| 24 | FREI Thomas | 71 |
| 33 | VITORIA David | 74 |