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 = -0.3 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Balmer
1
70 kgSuter
2
75 kgFroidevaux
3
71 kgSchmid
4
70 kgVogel
5
80 kgVoisard
7
56 kgBlum
12
68 kgGachet
15
61 kg
1
70 kgSuter
2
75 kgFroidevaux
3
71 kgSchmid
4
70 kgVogel
5
80 kgVoisard
7
56 kgBlum
12
68 kgGachet
15
61 kg
Weight (KG) →
Result →
80
56
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALMER Alexandre | 70 |
| 2 | SUTER Joel | 75 |
| 3 | FROIDEVAUX Robin | 71 |
| 4 | SCHMID Mauro | 70 |
| 5 | VOGEL Alex | 80 |
| 7 | VOISARD Yannis | 56 |
| 12 | BLUM Elia | 68 |
| 15 | GACHET Guillaume | 61 |