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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Coenen
1
67 kgRosa
2
65 kgAru
5
63 kgVillella
6
66 kgZardini
7
62 kgDe Ieso
8
62 kgBongiorno
11
56 kgJungels
12
70 kg
1
67 kgRosa
2
65 kgAru
5
63 kgVillella
6
66 kgZardini
7
62 kgDe Ieso
8
62 kgBongiorno
11
56 kgJungels
12
70 kg
Weight (KG) →
Result →
70
56
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COENEN Johan | 67 |
| 2 | ROSA Diego | 65 |
| 5 | ARU Fabio | 63 |
| 6 | VILLELLA Davide | 66 |
| 7 | ZARDINI Edoardo | 62 |
| 8 | DE IESO Donato | 62 |
| 11 | BONGIORNO Francesco Manuel | 56 |
| 12 | JUNGELS Bob | 70 |