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 = 0.8 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Reguigui
3
69 kgDuckert
6
68 kgMansouri
13
66 kgCzasa
14
70 kgLagab
15
63 kgVerhoeff
17
76 kgFitsumbrhan
23
74 kgFranz
25
60 kgCarstensen
27
69 kgGidich
31
69 kgDe Rossi
43
70 kgGabelloni
44
68 kgMartignago
45
65 kgJolidon
51
71 kgVerdijck
57
79 kgMatombé
59
63 kgHellal Berrouane
67
73 kg
3
69 kgDuckert
6
68 kgMansouri
13
66 kgCzasa
14
70 kgLagab
15
63 kgVerhoeff
17
76 kgFitsumbrhan
23
74 kgFranz
25
60 kgCarstensen
27
69 kgGidich
31
69 kgDe Rossi
43
70 kgGabelloni
44
68 kgMartignago
45
65 kgJolidon
51
71 kgVerdijck
57
79 kgMatombé
59
63 kgHellal Berrouane
67
73 kg
Weight (KG) →
Result →
79
60
3
67
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | REGUIGUI Youcef | 69 |
| 6 | DUCKERT Roman | 68 |
| 13 | MANSOURI Abderrahmane | 66 |
| 14 | CZASA Moritz | 70 |
| 15 | LAGAB Azzedine | 63 |
| 17 | VERHOEFF Stefan | 76 |
| 23 | FITSUMBRHAN Danyom | 74 |
| 25 | FRANZ Toni | 60 |
| 27 | CARSTENSEN Lucas | 69 |
| 31 | GIDICH Yevgeniy | 69 |
| 43 | DE ROSSI Lucas | 70 |
| 44 | GABELLONI Matteo | 68 |
| 45 | MARTIGNAGO Luca | 65 |
| 51 | JOLIDON Cédric | 71 |
| 57 | VERDIJCK Niels | 79 |
| 59 | MATOMBÉ Hanson | 63 |
| 67 | HELLAL BERROUANE Oussama | 73 |