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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Schmid
1
70 kgBissegger
4
78 kgVoisard
6
56 kgFroidevaux
7
71 kgBachmann
15
69 kgGachet
21
61 kgSteinacher
22
72 kg
1
70 kgBissegger
4
78 kgVoisard
6
56 kgFroidevaux
7
71 kgBachmann
15
69 kgGachet
21
61 kgSteinacher
22
72 kg
Weight (KG) →
Result →
78
56
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHMID Mauro | 70 |
| 4 | BISSEGGER Stefan | 78 |
| 6 | VOISARD Yannis | 56 |
| 7 | FROIDEVAUX Robin | 71 |
| 15 | BACHMANN Laurin | 69 |
| 21 | GACHET Guillaume | 61 |
| 22 | STEINACHER Cyrill | 72 |