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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Debesay
1
63 kgBellicaud
3
56 kgMulubrhan
4
60 kgNatarov
5
68 kgAreruya
6
74 kgManizabayo
7
72 kgMugisha
10
62 kgFedeli
11
65 kgGuglielmi
12
66 kgAraujo
14
68 kgGirmay
15
70 kgSobrero
16
63 kgFerron
17
67 kgDoleatto
19
61 kgKipkemboi
20
63 kgMugisha
24
58 kgMozzato
27
67 kg
1
63 kgBellicaud
3
56 kgMulubrhan
4
60 kgNatarov
5
68 kgAreruya
6
74 kgManizabayo
7
72 kgMugisha
10
62 kgFedeli
11
65 kgGuglielmi
12
66 kgAraujo
14
68 kgGirmay
15
70 kgSobrero
16
63 kgFerron
17
67 kgDoleatto
19
61 kgKipkemboi
20
63 kgMugisha
24
58 kgMozzato
27
67 kg
Weight (KG) →
Result →
74
56
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEBESAY Yakob | 63 |
| 3 | BELLICAUD Jeremy | 56 |
| 4 | MULUBRHAN Henok | 60 |
| 5 | NATAROV Yuriy | 68 |
| 6 | ARERUYA Joseph | 74 |
| 7 | MANIZABAYO Eric | 72 |
| 10 | MUGISHA Samuel | 62 |
| 11 | FEDELI Alessandro | 65 |
| 12 | GUGLIELMI Simon | 66 |
| 14 | ARAUJO Bruno | 68 |
| 15 | GIRMAY Biniam | 70 |
| 16 | SOBRERO Matteo | 63 |
| 17 | FERRON Valentin | 67 |
| 19 | DOLEATTO Aurélien | 61 |
| 20 | KIPKEMBOI Salim | 63 |
| 24 | MUGISHA Moise | 58 |
| 27 | MOZZATO Luca | 67 |