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 * weight - 60
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Schmid
1
70 kgHirschi
2
61 kgChristen
5
60 kgBlum
6
68 kgDebons
9
65 kgBalmer
10
70 kgDillier
24
75 kgStüssi
25
68 kg
1
70 kgHirschi
2
61 kgChristen
5
60 kgBlum
6
68 kgDebons
9
65 kgBalmer
10
70 kgDillier
24
75 kgStüssi
25
68 kg
Weight (KG) →
Result →
75
60
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHMID Mauro | 70 |
| 2 | HIRSCHI Marc | 61 |
| 5 | CHRISTEN Jan | 60 |
| 6 | BLUM Elia | 68 |
| 9 | DEBONS Antoine | 65 |
| 10 | BALMER Alexandre | 70 |
| 24 | DILLIER Silvan | 75 |
| 25 | STÜSSI Colin | 68 |