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 + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Solen
1
67 kgHashikawa
2
57 kgDockx
3
61 kgLedesma
4
55 kgGirmay
5
71 kgShimazaki
8
56 kgKamada
11
58 kg
1
67 kgHashikawa
2
57 kgDockx
3
61 kgLedesma
4
55 kgGirmay
5
71 kgShimazaki
8
56 kgKamada
11
58 kg
Weight (KG) →
Result →
71
55
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOLEN Keije | 67 |
| 2 | HASHIKAWA Jo | 57 |
| 3 | DOCKX Gilles | 61 |
| 4 | LEDESMA Gerard | 55 |
| 5 | GIRMAY Mewael | 71 |
| 8 | SHIMAZAKI Masao | 56 |
| 11 | KAMADA Koki | 58 |