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 + 84
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Bouhanni
1
70 kgNorsgaard
3
88 kgBarta
4
61 kgLarsen
5
74 kgCosta
6
61 kgGee
7
72 kgTouzé
10
69 kgGregaard
11
66 kgGranigan
14
76 kgTejada
18
63 kgMaitre
20
71 kgSchultz
22
60 kgZahiri
35
57 kgKoyama
45
58 kgCôté
50
74 kgHoover
66
78 kgGervais
70
72 kgCañaveral
72
60 kgMagosaki
119
62 kg
1
70 kgNorsgaard
3
88 kgBarta
4
61 kgLarsen
5
74 kgCosta
6
61 kgGee
7
72 kgTouzé
10
69 kgGregaard
11
66 kgGranigan
14
76 kgTejada
18
63 kgMaitre
20
71 kgSchultz
22
60 kgZahiri
35
57 kgKoyama
45
58 kgCôté
50
74 kgHoover
66
78 kgGervais
70
72 kgCañaveral
72
60 kgMagosaki
119
62 kg
Weight (KG) →
Result →
88
57
1
119
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUHANNI Rayane | 70 |
| 3 | NORSGAARD Mathias | 88 |
| 4 | BARTA Will | 61 |
| 5 | LARSEN Niklas | 74 |
| 6 | COSTA Adrien | 61 |
| 7 | GEE Derek | 72 |
| 10 | TOUZÉ Damien | 69 |
| 11 | GREGAARD Jonas | 66 |
| 14 | GRANIGAN Noah | 76 |
| 18 | TEJADA Harold | 63 |
| 20 | MAITRE Florian | 71 |
| 22 | SCHULTZ Jesper | 60 |
| 35 | ZAHIRI Abderrahim | 57 |
| 45 | KOYAMA Takahiro | 58 |
| 50 | CÔTÉ Pier-André | 74 |
| 66 | HOOVER Gavin | 78 |
| 70 | GERVAIS Laurent | 72 |
| 72 | CAÑAVERAL Johnatan | 60 |
| 119 | MAGOSAKI Daiki | 62 |